Topics: AI | Data Science | Data Visualization | Deep Learning | Machine Learning | NLP | Python | R | Statistics

Search results for op【Talk:za32】안양드림교회

    Found 144 documents, 11820 searched:

  • Why You Should Attend the Data Science Summit 2016 and 9 Talks To Be Excited About

    ...tanford University. Connect with Jock Talk 3: Product Reviews and NLP: Analysis and Elasticsearch By Lynn Cherny, Data Analysis Consultant About This Talk: This talk will be more hands on. Lynn Cherny will walk you through the exploratory analysis of a product review corpus using Python tools,...

    https://www.kdnuggets.com/2016/07/data-science-summit-2016-9-talks.html

  • Data Extraction Software Octoparse 8 vs Octoparse 7: What’s New

    ...ocation. (Data highlighted automatically)     4. Refreshing Design to have more control   The OP 8 whole design is very different from OP 7. In OP 7, the built-in browser sits below the workflow and the customized area. OP 8 interface is super clean with an upgraded menu bar and...

    https://www.kdnuggets.com/2020/05/octoparse-8-vs-octoparse-7.html

  • Machine Learning Meets Humans – Insights from HUML 2016

    …all. Certainly post-hoc explanations like saliency maps or LIME offer nothing towards accountability. Fabio Roli – Safety of Machine Learning On the topic of anthropomorphic ML, Fabio Roli began his discussion with an engaging foray into science fiction. Recalling Fred Hoyle’s Black Cloud, Roli…

    https://www.kdnuggets.com/2017/01/machine-learning-humans-huml-2016.html

  • Machine Learning with Optimus on Apache Spark

    ...ame. Let’s create a sample dataframe to see how it works. # Import Row from pyspark from pyspark.sql import Row # Importing Optimus import optimus as op df = op.sc. \ parallelize([Row(sentence='this is a test', label=0.), Row(sentence='this is another test', label=1.)]). \ toDF() df.show()...

    https://www.kdnuggets.com/2017/11/machine-learning-with-optimus.html

  • How Not To Program the TensorFlow Graph

    …n to things in the TensorFlow graph; everything you put in the graph stays there. It’s pretty clear that tf.global_variables_initializer() returns an op. But ops are also created in less obvious ways. Let’s compare to how NumPy works. >>> import numpy as np >>> x = np.array(1.0)…

    https://www.kdnuggets.com/2017/05/how-not-program-tensorflow-graph.html

  • Becoming a Data Scientist">Silver BlogBecoming a Data Scientist

    ...them to give you examples. There's no way around this, you either have to get a job and potentially learn that it's not what you wanted/imagined, or talk to people and have a better idea of what to expect. I understand that talking to people might not necessarily be your thing, so at least read or...

    https://www.kdnuggets.com/2018/01/feizpour-becoming-data-scientist.html

  • O’Reilly NYC AI Conference Highlights: Explainable AI, Vector Representation, Bias, and Future

    ...ving-ai/). They were showing this video (or a similar one) at their conference booth. Programming your way to explainable AI Mark Hammond from Bonsai opened his talk "Programming your way to explainable AI" with this quote: "No one really knows how the most advanced algorithms do what they do. That...

    https://www.kdnuggets.com/2017/08/oreilly-nyc-ai-conference-highlights.html

  • TensorFlow: Building Feed-Forward Neural Networks Step-by-Step">Silver BlogTensorFlow: Building Feed-Forward Neural Networks Step-by-Step

    ...he learning_rate of the tensorflow.train.GradientDescentOptimizer is just a hyper-parameter. # Minimizing the prediction error using gradient descent optimizer train_op = tensorflow.train.GradientDescentOptimizer(learning_rate=0.05).minimize(prediction_error)   Training Loop   Previously,...

    https://www.kdnuggets.com/2017/10/tensorflow-building-feed-forward-neural-networks-step-by-step.html

  • Top 20 ODSC 2020 Global Virtual Conference Sessions

    ...erence, an online and on-demand version of ODSC. You'll be able to follow specific tracks, choose from over 110 different training sessions and workshops, watch over 100 talks with insights from experts, gain access to 380+ hours of content, and virtually connect with over 5000 other ODSC...

    https://www.kdnuggets.com/2020/03/odsc-2020-global-virtual-conference.html

  • STRATA + Hadoop World 2014 NYC Report

    ...e conference app did give you the choice of filtering these out. Thus one had to be quite judicious in choosing which talk to attend. Obviously, many talks had a Hadoop big data focus, but others were focused on the less technical side, such as “The Great Debate; If You Can’t Code You Can’t Be a...

    https://www.kdnuggets.com/2014/11/strata-hadoop-world-2014-nyc-report.html

  • Deep Learning Pioneer Geoff Hinton on his Latest Research and the Future of AI

    ...brain is so efficient that even if greedy bottom up can do it on its own that there wouldn't be this top-down function, or is it possible that that top down function exists as a, as a, an optimizer or something? GEOFF: Well, you'd like this top-down prediction - and making it agree with the bottom...

    https://www.kdnuggets.com/2021/01/deep-learning-pioneer-geoff-hinton-research-future-ai.html

  • Top KDnuggets tweets, Oct 6-7: Great TED talk by @KnCukier “Big Data is better data”; Top 10 One-Person Startups

    ...) #BigDataCo t.co/Hr5RTkcNEA 7 critical elements of effective dashboards and visualizations t.co/BeW98qWWqZ Making Sense of Public Data - Wrangling Jeopardy http://t.co/3VCtKWpJwG Top KDnuggets tweets, Oct 3-5: Best Programming Languages for Machine Learning; Analyzing Ebola t.co/nXRO8PKN5w A...

    https://www.kdnuggets.com/2014/10/top-tweets-oct06-07.html

  • ODSC India Highlights: Deep Learning Revolution in Speech, AI Engineer vs Data Scientist, and Reinforcement Learning for Enterprise

    ...ng to some key challenges and new areas where this technology can be applied such as accurate combined speaker segmentation and speech recognition, people talking over each other in conversations and sequence models like Listen, Attend and Spell(LAS). Sheamus McGovern , Founder of Open Data...

    https://www.kdnuggets.com/2018/09/odsc-india-highlights.html

  • Think Like an Amateur, Do As an Expert: Lessons from a Career in Computer Vision

    ...search: Start with a scenario: Picture the success – what can happen; how and where will it be used? Think freely with fun The story expands, and you talk about it Other people can join Dr. Kanade’s lessons: Successful ideas are often surprisingly simple and even naively trivial Impediment to such...

    https://www.kdnuggets.com/2019/05/kanade-lessons-career-computer-vision.html

  • ICLR 2019 highlights: Ian Goodfellow and GANs, Adversarial Examples, Reinforcement Learning, Fairness, Safety, Social Good, and all that jazz

    ...and transparency constraints, to be robust, use labels efficiently, adapt to different domains and so on. A slide on ML topics, from Ian Goodfellow’s talk We noticed a few topics that got a lot of attention: Reinforcement Learning, GANs and adversarial examples, and Fairness were the most prominent...

    https://www.kdnuggets.com/2019/05/iclr-2019-highlights.html

  • Text Data Preprocessing: A Walkthrough in Python">Gold BlogText Data Preprocessing: A Walkthrough in Python

    ...e for a discussion on lemmatization vs. stemming. Stemmed: ['titl', 'goe', 'bold', 'text', 'it', 'text', 'stil', 'run', 'ran', 'run', 'stop', 'run', 'talk', 'talk', 'talk', 'run', 'ran', 'talk', 'run', 'sebast', 'nicola', 'alejandro', 'jeronimo', 'going', 'stor', 'tomorrow', 'morn', 'someth',...

    https://www.kdnuggets.com/2018/03/text-data-preprocessing-walkthrough-python.html

  • Machine Learning Reveals 9 Elements of Deal-Closing Sales

    …use case that was talked about the most by the customer during the discovery phase of the sales cycle. In other words, if a customer spent 7 minutes talking about “coaching,” 4 minutes talking about “onboarding,” and 5 minutes talking about “pipeline management” during the prior discovery call,…

    https://www.kdnuggets.com/2017/09/gongio-9-elements-deal-closing-sales-demos.html

  • KDD-2014 report, part 2: The Magic Module network and Privacy vs Big Data

    ...- 30 seconds, 1 slide summaries of all the talks, ably run by Aris Gionis (Aalto U.) and Jie Tang (Tsinghua U.). This gave enough of a flavor of each talk to help people decide where to go, and was probably just long enough to keep the attention span of today's researchers, who would turn to their...

    https://www.kdnuggets.com/2014/09/kdd-2014-magic-module-privacy-vs-big-data-part2.html

  • Deep Multi-Task Learning – 3 Lessons Learned

    ...tf.train.AdamOptimizer(b_learning_rate) train_shared_op = shared_subnet_optimizer.apply_gradients(zip(shared_subnet_gradients, shared_vars)) train_a_op = a_optimizer.apply_gradients(zip(a_gradients, a_vars)) train_b_op = b_optimizer.apply_gradients(zip(b_gradients, b_vars)) train_op =...

    https://www.kdnuggets.com/2019/02/deep-multi-task-learning.html

  • Talking Machine – 3 Deep Learning Gurus Talk about History and Future of Machine Learning, part 1

    ...e a lot of people build their careers around the idea of building features.” "In a workshop on the future of computer vision at MIT in 2011, I gave a talk with the topic ‘In five years, all of you will be learning your features’. I was wrong. It only takes three years." In 2012, Yann’s technique is...

    https://www.kdnuggets.com/2015/03/talking-machine-deep-learning-gurus-p1.html

  • Top /r/MachineLearning Posts, Apr 19-25: Neural nets for nipple detection; NHL Goal celebration hack

    ...contexts. If you’re interested in the under-the-hood performance of deep learning, read this post. Related: Top /r/MachineLearning Posts, Apr 12-18: Andrew Ng AMA, Autoencoders, and Deep Learning Textbooks Geoff Hinton AMA: Neural Networks, the Brain, and Machine Learning Talking Machine – 3 Deep...

    https://www.kdnuggets.com/2015/04/top-machine-learning-posts-apr19-25.html

  • Big Data Innovation Summit 2014 London: Highlights

    ...s at the summit. These concise, takeaway-oriented summaries are designed for both – people who attended the summit but would like to re-visit the key talks for a deeper understanding and people who could not attend the summit. Here are highlights: Ankur Gupta, Director, Big Data, Sears Holdings...

    https://www.kdnuggets.com/2014/05/big-data-innovation-summit-2014-london-highlights.html

  • Top KDnuggets tweets, Dec 5-11: How to build a data science project from scratch; NeurIPS 2018 video talk collection #NeurIPS2018

    ...co/QCuNfgDRyz https://t.co/iRzXajjyEm Most Clicked: How to build a data science project from scratch https://t.co/dSVWgmu6Sb https://t.co/67OYeugzBu Top 10 most engaging Tweets How to build a data science project from scratch https://t.co/dSVWgmu6Sb https://t.co/67OYeugzBu NeurIPS 2018 video talk...

    https://www.kdnuggets.com/2018/12/top-tweets-dec05-11.html

  • Age of AI Conference 2018 – Day 2 Highlights

    ...qubits and has progressed to 1000 – 2000 qubits now. It has run for 22 months without a failure. Volkswagen is experimenting with a D-Wave machine to optimize traffic flow in Beijing. Recruit Communications is trying to optimize advertising in Japan with D-Wave systems. There are other customer...

    https://www.kdnuggets.com/2018/02/age-ai-conference-2018-day-2.html

  • Voices in AI – great conversations with leaders in AI, Machine Learning, Data Science

    ...human creativity, connectivity with digital systems, AGI, and the workforce. Episode 4: A Conversation with Jeff Dean In this episode, Byron and Jeff talk about AGI, machine learning, and healthcare. Episode 5: A Conversation with Daphne Koller In this episode, Byron and Daphne talk about...

    https://www.kdnuggets.com/2017/10/gigaom-voices-ai-podcast.html

  • 10 Great Talks From SciPy 2016

    ...SciPy 2016 Lightning Talks My thanks to Sebastian Raschka for his contribution, and to Qingkai Kong for putting together a great resource. Related: Top Talks and Tutorials From PyData London How to Explain Machine Learning to a Software Engineer Top 10 IPython Notebook Tutorials for Data Science...

    https://www.kdnuggets.com/2016/07/10-great-talks-scipy-2016.html

  • Multi-Task Learning in Tensorflow: Part 1

    ..._layer,Y2_layer_weights)) # Calculate Loss Y1_Loss = tf.nn.l2_loss(Y1-Y1_layer) Y2_Loss = tf.nn.l2_loss(Y2-Y2_layer) Joint_Loss = Y1_Loss + Y2_Loss # optimisers Optimiser = tf.train.AdamOptimizer().minimize(Joint_Loss) Y1_op = tf.train.AdamOptimizer().minimize(Y1_Loss) Y2_op =...

    https://www.kdnuggets.com/2016/07/multi-task-learning-tensorflow-part-1.html

  • Dataminer – Analytical and Predictive Marketing

    ...sche realisatie en de communicatie. Tijdens het project werk je nauw samen met onze interne klant (de andere marketingdepartementen). Je communiceert op regelmatige basis op een duidelijke manier over de vooruitgang en de resultaten van het project. Je profiel: Je beschikt over een universitair...

    https://www.kdnuggets.com/jobs/13/04-30-bnpparibasfortis-dataminer-analytical-predictive-marketing.html

  • Deep Conversations: Lisha Li, Principal at Amplify Partners

    ...r of the CS Department, this beautiful open concept building). If I were to rewind again, I would still specialize in Pure Math with a minor in Philosophy. What I was optimizing for then, was flexibility of thinking. What I studied gave me the flexibility to reason and carry me in any direction,...

    https://www.kdnuggets.com/2018/05/deep-conversations-lisha-li-amplify-partners.html

  • Make your Data Talk!

    ...rched "journalism # black png" on google # images... stopwords = set(STOPWORDS) wc = WordCloud(background_color="white", max_words=1000, mask=mask, stopwords=stopwords) # Generate a wordcloud wc.generate(text) # show plt.figure(figsize=[20,10]) plt.imshow(wc, interpolation='bilinear')...

    https://www.kdnuggets.com/2019/06/make-data-talk.html

  • Bias in AI: A Primer

    ...ve and clinical technology from the state of the art in AI. While Margaret's work obviously goes well beyond the basics, she did give an introductory talk on the topic of AI bias for the winter 2019 iteration of Stanford's CS224n: Natural Language Processing with Deep Learning, the slides for which...

    https://www.kdnuggets.com/2020/06/bias-ai-primer.html

  • Age of AI Conference 2018 – Day 1 Highlights

    ...te how differentiable programming is “a little more than a rebranding of the modern collection Deep Learning techniques”.Hence, it’s the title of the talk. Christopher Olah’s seminal blog post on differentiable programming and other types of programming, in which he imagines how we would look back...

    https://www.kdnuggets.com/2018/02/age-ai-conference-2018-day-1.html

  • Customer Analytics Summit 2014 Chicago: Day 1 Highlights

    ...influential element on conversion. They concluded the talk recommending mapping out primary user journeys and conversion rates in order to identify top opportunities. Highlights from day 2. Related: Customer Analytics Summit 2014 Chicago: Day 2 Highlights Business Analytics Innovation Summit 2014...

    https://www.kdnuggets.com/2014/09/customer-analytics-summit-2014-chicago-day1.html

  • Viewpoint: Social Media Analysis: What is missing

    ...n Ad (outdoor or online) metric because you possibly don’t have any other way to measure such but with Social Media that’s not the case. You cannot stop and talk to a billboard you liked but on Social Media you can do a lot of things like, say talk to it (comment), show it your friends (share) and...

    https://www.kdnuggets.com/2014/02/social-media-analysis-what-is-missing.html

  • SFBayACM talk: GraphLab framework for
    Machine Learning in the Cloud

    ...ressed in our higher-level abstraction, GraphLab will effectively address many of the underlying parallelism challenges, including data distribution, optimized communication, and guaranteeing sequential consistency, a property that is surprisingly important for many ML algorithms. On a variety of...

    https://www.kdnuggets.com/2013/03/sfbayacm-graphlab-framework-for-machine-learning-cloud.html

  • Business Analytics Innovation Summit 2014 Chicago: Day 2 Highlights

    ...esident, Commercial Analytics , BMO Harris Bank gave an interesting talk on "Transforming Analytics with 'Soft Skills' - How to Get Your Analysts to 'Talk the Talk'". In many companies, rather than driving decisions, the analytics team is reactionary- instead of being strategic partners, they...

    https://www.kdnuggets.com/2014/07/business-analytics-innovation-summit-2014-chicago-day2.html

  • Business Intelligence Innovation Summit 2014 Chicago: Day 1 Highlights

    ...to achieve real business results. Gary Sarkesian, Vice President, Customers For Life, Salesforce described the importance and key characteristics of Open Innovation in his talk titled "To be a Disruptor or to be Disrupted?". 96% of all innovations fail, with some of the most common innovation...

    https://www.kdnuggets.com/2014/07/business-intelligence-innovation-summit-2014-chicago-day1.html

  • How I Used Deep Learning To Train A Chatbot To Talk Like Me">Silver Blog, Aug 2017How I Used Deep Learning To Train A Chatbot To Talk Like Me

    ...e. Over the course of my time on social media, I’ve used Facebook, Google Hangouts, SMS, LinkedIn, Twitter, Tinder, and Slack to stay in touch with people. Facebook: This is where the bulk of the training data will come from. Facebook has a cool feature that allows you to download a copy of all of...

    https://www.kdnuggets.com/2017/08/deep-learning-train-chatbot-talk-like-me.html

  • Transitioning to Data Science: How to become a data scientist, and how to create a data science team">Silver BlogTransitioning to Data Science: How to become a data scientist, and how to create a data science team

    ...bout it and then you can showcase your knowledge,” said Lindsay Farber. It might be slightly harder but you should also “try to figure out if you can talk to people who the data science team works with closely whether that's on the business side or most likely from the engineering side. Figure out...

    https://www.kdnuggets.com/2017/12/transitioning-data-science-become-data-scientist-data-science-team.html

  • Top Talks and Tutorials From PyData London

    ...management, processing, analytics, and visualization. We aim to be an accessible, community-driven conference, with tutorials for novices, advanced topical workshops for practitioners, and opportunities for package developers and users to meet in person. You can find out everything about PyData...

    https://www.kdnuggets.com/2016/05/top-talks-tutorials-pydata-london.html

  • Big Data & Analytics for Retail Summit 2014 Chicago: Day 2 Highlights

    ...to integrate location dimensions with performance management, reporting, predictive analytics and campaign management solutions to increase sales and optimize marketing operations. Location Intelligence assists companies in making complex location-dependent business decisions by representing and...

    https://www.kdnuggets.com/2014/10/big-data-analytics-retail-summit-chicago-day2.html

  • ASE International Conference on Big Data Science 2014: Day 2 Highlights

    ...Data: a Socio-biological Perspective”. She argued that we adapt very slowly to change. We enter a high failure-rate environment (the number of wrong options is growing much faster than the number of right options). Complexity causes us to become bad pickers. She said “In nature, any drive toward...

    https://www.kdnuggets.com/2014/08/ase-conference-big-data-science-day2.html

  • Talking Machine – 3 Deep Learning Gurus Talk about History and Future, part 2

    …new publication mode to avoid rejecting brand new ideas. He and Yoshua co-founded International Conference on Learning Representations (ICLR) which adopted a open review process. People put their papers on the arxiv, and will be reviewed by official reviewers. Review will be published and everybody…

    https://www.kdnuggets.com/2015/03/talking-machine-deep-learning-gurus-p2.html

  • Most Viewed Big Data Videos on YouTube

    ...can do to keep up and even get ahead of the curve. 4. Basic Introduction to Apache Hadoop (74,565 views) This is a great introduction not only to Hadoop, but the whole Hadoop ecosystem. If you are looking to understand how Hadoop, MapReduce, and the numerous associated programs work together, this...

    https://www.kdnuggets.com/2015/05/most-viewed-big-data-videos-youtube.html

  • Lets talk about Ethics in Analytics / Data Science

    ...at the highest levels unimagined years ago. There's a substantial risk at hand in case of a wrong, misjudged model / analysis / statistics that can jeopardize the proper functioning of an organization. Instruction, rules and supervisions are essential but that alone cannot prevent lapses. Given all...

    https://www.kdnuggets.com/2015/10/ethics-data-analytics.html

  • Gaming Analytics Summit 2015, San Francisco – Day 2 Highlights

    ...educing the mean quality, but rather one should strive to reduce the variance. Rudi Bonaparte, Manager, Analytics, Riot Games delivered an insightful talk on team-work in his talk titled "Beyond the Math: Structuring Analytics Teams for Success ". Individual brilliance is great, but it’s only one...

    https://www.kdnuggets.com/2015/05/gaming-analytics-summit-san-francisco-highlights-day2.html

  • ASE International Conference on Big Data Science 2014: Day 1 Highlights

    ...Service is the Hardware”. He talked also about Cloud Foundry, an application environment. He discussed the idea of application as unit of deployment. Talking about Hadoop, he said that it has tremendously changed economics of data storage and analysis. He suggested the audience to start preparing...

    https://www.kdnuggets.com/2014/08/ase-conference-big-data-science-day1.html

  • Business Intelligence Innovation Summit 2014 Chicago: Day 2 Highlights

    ...s is difficult Insights - hard to find insights of true business value Action - acting on insights to obtain tangible business results is even harder Operations - operationalizing all of the above with consistency and continuous improvement is nearly impossible   In the new era of...

    https://www.kdnuggets.com/2014/07/business-intelligence-innovation-summit-2014-chicago-day2.html

  • Strata 2014 Santa Clara: Highlights of Day 2 (Feb 12)

    ...oduction processes of business These principles can be used within IT to build an experimental enterprise by employing six building blocks: cloud, DevOps, open source, agile development, platforms,and data science. Along with a brief explanation of these blocks, he demonstrated how they fit...

    https://www.kdnuggets.com/2014/02/strata-2014-santa-clara-highlights-day2.html

  • Strata 2014: Highlights from Keynote Speeches

    ...e in that data. 3. Boyd Davis from Intel announced new Intel Data Platform based on Hadoop. He shared a glimpse into the future of a datacenter-scale open-source operating environment. 4. Matei Zaharia from Databricks (also one of the Apache Spark Committers) presented on how companies are using...

    https://www.kdnuggets.com/2014/02/strata-2014-highlights-keynote-speeches.html

  • Big Data Innovation Summit 2014 Santa Clara: Highlights of Selected Talks on Day 2

    ...days of insightful presentations, workshops, discussions, panels and networking. It covered areas including Big Data Innovation, Data Analytics, Hadoop & Open-Source Software, Data Science, Algorithms & Machine Learning, Data Driven Business Decisions and more. People attending such...

    https://www.kdnuggets.com/2014/04/big-data-innovation-summit-2014-talks-day2.html

  • Chief Data Officer Summit 2014 – Day 2 Highlights

    ...deling, Governance and Stewardship. Joy Bonaguro, Chief Data Officer, San Francisco City & County explained Open Data movement and its future, in her talk titled "Open Data Grows Up: Institutionalizing an Initiative". She decomposed the Open Data movement in the following five phases: The Executive...

    https://www.kdnuggets.com/2014/07/chief-data-officer-summit-2014-san-francisco-day2.html

  • Manufacturing Analytics Summit 2014 Chicago: Day 2 Highlights

    ...upta, Renewables and Technology Global Operations Executive, SunEdison introduced and explained the concept of OPPM (One Page Project Manager) in his talk "Driving Operational Strategy and Excellence Amidst Solar Chaos". New product initiatives (in Solar Energy industry) are plagued by a lot of...

    https://www.kdnuggets.com/2014/07/manufacturing-analytics-innovation-summit-2014-chicago-day2.html

  • Top 10 TED Talks for the Data Scientists">2016 Silver BlogTop 10 TED Talks for the Data Scientists

    …how some applications of the technology are not so cute — and why she thinks we should return the control of information to its rightful owners. We hope that you will enjoy this talks. Please, do let us know more about your favorite online talk in data science. Bio: Devendra…

    https://www.kdnuggets.com/2016/02/top-10-tedtalks-data-scientists.html

  • Data Science of Sales Calls: 3 Actionable Findings

    …e data suggests that if you spend 10% of a call discussing your company, your odds of closing the deal will be 1/4 of your peers. That means, if the top sales rep on your team has a 24% close-rate, and you’re a talker, your close-rate is likely to be a mere 6%. So yes, you can literally talk your…

    https://www.kdnuggets.com/2017/01/data-science-sales-calls-actionable-findings.html

  • What I Learned About Machine Learning at ODSC West 2018

    ...ours — meaning, yea, you might miss the talk on that one thing you haven’t had time to investigate yet. But organizers minimized this by scheduling R talks in tandem with the Python talks so you were usually only sacrificing a talk in another language. My point is: It wasn’t just the technical...

    https://www.kdnuggets.com/2018/11/odsc-west-learned-about-machine-learning.html

  • The ultimate guide to starting AI

    ...experts, read this. Although it’s not about functions, the general ideas about working with decision-makers apply. Set testing criteria Define your population of interest Talking about your system “working” makes no sense until you specify which instances you’re intending for it to work on. All US...

    https://www.kdnuggets.com/2018/11/ultimate-guide-starting-ai.html

  • 10 Trending Data Science Topics at ODSC East 2019

    ...d dogs and being able to recognize specific parts, such as paws, tails, whiskers, and more. By developing a model like this, you will be able to develop much more sophisticated models that can understand more complicated concepts in your data. Apache Spark for Fast Data Science (and Fast Python...

    https://www.kdnuggets.com/2019/02/odsc-10-trending-data-science-topics.html

  • Gold BlogA Step-by-Step Guide to Transitioning your Career to Data Science – Part 1">Silver BlogGold BlogA Step-by-Step Guide to Transitioning your Career to Data Science – Part 1

    ...lots of questions, like: Can I actually get this job? What should I do next? How do you answer these questions? By testing. Except this time, you'll talk to real people: the ones who have already been there before. Here are the steps that you can follow: Find people who have your target job title...

    https://www.kdnuggets.com/2019/05/guide-transitioning-career-data-science-part-1.html

  • Basics of Audio File Processing in R

    ...let me know your thoughts.   References Heartbeat Sounds Download Open Datasets on 1000s of Projects + Share Projects on One Platform. Explore Popular Topics Like Government…   https://cran.r-project.org/web/packages/seewave/vignettes/seewave_IO.pdf   Individual sound files for each...

    https://www.kdnuggets.com/2020/02/basics-audio-file-processing-r.html

  • 6 Must See Deep Learning Experts at ODSC West 2019 – 20% Off Ends Friday

    ...obot Learning Lab, Co-director of Berkeley Artificial Intelligence Research lab (BAIR), Co-founder of covariant.ai, berkeleryopenarms.org, and Gradescope, and an Advisor at OpenAI. During the course of his career, Abbeel has pushed the frontiers of deep reinforcement learning (DRL) in his effort to...

    https://www.kdnuggets.com/2019/10/odsc-must-see-deep-learning-experts-discount-ends-friday.html

  • Gold BlogData Visualization in Python: Matplotlib vs Seaborn">Silver BlogGold BlogData Visualization in Python: Matplotlib vs Seaborn

    ...osition=(0.5,1)); Now we have finally recreated our previous matplotlib style plot with Seaborn using fewer lines of code and better resolution in my opinion. Let's take it one step further and facet the plot to finish: sns.set(rc={'figure.figsize':(20,20)}) sns.set_context('talk', font_scale=2)...

    https://www.kdnuggets.com/2019/04/data-visualization-python-matplotlib-seaborn.html

  • Customer Data Unicorns: Why how we manage their data is the secret to finding, taming and riding them

    ...arefully designed. The other key takeaway I got from this list taken from DAMA's body of Knowledge was the new addition of "Data Integration and Interoperability" (Data interoperability addresses the ability of systems and services that create, exchange and consume data to have clear, shared...

    https://www.kdnuggets.com/2018/09/customer-data-unicorns-manage-data.html

  • Machine Learning in Real Life: Tales from the Trenches to the Cloud – Part 1

    ...the developer user group w/ @alienelf at @MicrosoftSA pic.twitter.com/mCuJMvo7Nh — Jared Naude (@JaredNaude) April 11, 2017 So I recently did a talk at the Jozi Developer User Group and I was asked to turn it into a blog post, so here it goes. We live in a world where everyone knows enough...

    https://www.kdnuggets.com/2017/06/machine-learning-real-life-tales-1.html

  • Key Takeaways from Strata + Hadoop World 2017 San Jose, Day 2

    …r Project Ray is available on Github and there will be an alpha release soon. Desiree Matel-Anderson, Chief Wrangler, The Field Innovation Team (FIT) talked about doing good with data in her talk “Data in disasters: Saving lives and innovating in real time”. FIT’s mission is to empower humans to…

    https://www.kdnuggets.com/2017/03/strata-hadoop-san-jose-key-takeaways-day2.html

  • Top 10 Videos on Machine Learning in Finance">Silver Blog, Sep 2017Top 10 Videos on Machine Learning in Finance

    ...hief Data Officer and Chief Analytics Officer have emerged in financial institutions. 2. Talk: ML for Credit Risk Assessment (1.3K views) - 38 minute talk The company Zopa has a Python-based development and modelling pipeline for credit risk assessment. It uses ML algorithms and data visualization...

    https://www.kdnuggets.com/2017/09/top-10-videos-machine-learning-finance.html

  • Tensorflow Tutorial: Part 1 – Introduction

    …ave conducted as part of the United Network of Professionals. Time to time I will be referring to some of the slides that I used there as part of the talk to make it clearer. Please don’t miss out on the live webinars where I talk about everything I write. Register yourself with our upcoming…

    https://www.kdnuggets.com/2017/09/tensorflow-tutorial-part-1.html

  • Bill Inmon on Hearing The Voice Of Your Customer

    ...center analysis you can do “red flag” analysis, which is less dependent on the accuracy required for sentiment analysis. Another difference is that people talk differently than they write. When talking, people are much more casual in their language. But when people write, they have to write in a...

    https://www.kdnuggets.com/2017/12/hearing-voice-your-customer.html

  • KDD-2013 NodeXL Twitter Social Network, updated

    ...ggets, Gregory Piatetsky, Editor of KDnuggets, SIGKDD Chair 2005-9, co-founder of KDD Conferences @xamat, Xavier Amatriain, Netflix director (gave a popular talk at KDD-2013) @kdd, KDD main twitter account @kdd_news, KDD News @venusatuluri, Venu Satuluri, Twitter Engineer @dirkvandenpoel, Dirk Van...

    https://www.kdnuggets.com/2013/08/kdd2013-twitter-social-network-nodexl.html

  • Top 10 Machine Learning Videos on YouTube

    ...oundations of machine learning. 6. Brains, Sex, and Machine Learning (104,808 views) This Google Tech Talk is also delivered by Geoffrey Hinton. This talk also goes in depth on the topic of neural networks. Where this talk differs is how it discusses the way this reacts with biological neurons and...

    https://www.kdnuggets.com/2015/06/top-10-machine-learning-videos-youtube.html

  • TensorFlow for Short-Term Stocks Prediction

    ...ure the Training Op (for TRAIN mode) if mode == tf.estimator.ModeKeys.TRAIN: optimizer = tf.train.GradientDescentOptimizer(learning_rate=0.001) train_op = optimizer.minimize( loss=loss, global_step=tf.train.get_global_step()) return tf.estimator.EstimatorSpec(mode=mode, loss=loss,...

    https://www.kdnuggets.com/2017/12/tensorflow-short-term-stocks-prediction.html

  • Verizon: Sr. Manager Business Intelligence, NJ

    ...tics. Lead the strategy to S&OP activities, including system enhancements, future requirements, metrics and improvements to the metrics for S&OP Facilitate weekly S&OP VP meetings Hold and facilitate daily operational meetings with the planning and logistics team to coordinate and...

    https://www.kdnuggets.com/jobs/16/03-10-verizon-sr-manager-business-intelligence-nj.html

  • Custom Optimizer in TensorFlow

    ...g script generates the Euclidian distance of the true minimum w.r.t the approximated minimum by a given optimizer at each epoch.   def RosenbrockOpt(optimizer,MAX_EPOCHS = 4000, MAX_STEP = 100): ''' returns distance of each step*MAX_STEP w.r.t minimum (1,1) ''' x1_data =...

    https://www.kdnuggets.com/2018/01/custom-optimizer-tensorflow.html

  • The Anatomy of Deep Learning Frameworks">Silver Blog, Feb 2017The Anatomy of Deep Learning Frameworks

    ...will be better off using libraries that have optimized implementations of these methods. BLAS or Basic Linear Algebra Subprograms are a collection of optimized matrix operations, initially written in Fortran¹⁵. These can be leveraged to do very fast matrix (tensor) operations and can provide...

    https://www.kdnuggets.com/2017/02/anatomy-deep-learning-frameworks.html

  • Programming Best Practices For Data Science">Silver BlogProgramming Best Practices For Data Science

    ...mths_since_last_major_derog policy_code application_type annual_inc_joint dti_joint verification_status_joint acc_now_delinq tot_coll_amt tot_cur_bal open_acc_6m open_act_il open_il_12m open_il_24m mths_since_rcnt_il total_bal_il il_util open_rv_12m open_rv_24m max_bal_bc all_util total_rev_hi_lim...

    https://www.kdnuggets.com/2018/08/programming-best-practices-data-science.html

  • Financial Data Analysis – Data Processing 1: Loan Eligibility Prediction

    ...', 'policy_code', 'application_type', 'annual_inc_joint', 'dti_joint', 'verification_status_joint', 'acc_now_delinq', 'tot_coll_amt', 'tot_cur_bal', 'open_acc_6m', 'open_act_il', 'open_il_12m', 'open_il_24m', 'mths_since_rcnt_il', 'total_bal_il', 'il_util', 'open_rv_12m', 'open_rv_24m',...

    https://www.kdnuggets.com/2018/09/financial-data-analysis-loan-eligibility-prediction.html

  • Analyzing Tweets with NLP in Minutes with Spark, Optimus and Twint

    ...: import twint Optimus was installed in the first step, so let’s just start it (this will start a Spark cluster for you): from optimus import Optimus op = Optimus()   Setup Twint for scrapping tweets   https://www.theverge.com/2015/11/3/9661180/twitter-vine-favorite-fav-likes-hearts # Set...

    https://www.kdnuggets.com/2019/05/analyzing-tweets-nlp-spark-optimus-twint.html

  • Distributed TensorFlow Has Arrived

    ...e agreeing or disagreeing with others' views. Which is all (mostly) good. Google has, in some ways, brought deep learning a bit more mainstream in my opinion, given that open source TensorFlow has somehow become a common denominator among interested parties in a very short period of time. Through...

    https://www.kdnuggets.com/2016/03/distributed-tensorflow-arrived.html

  • Big Data & Analytics Innovation Summit, Australia: Day 2 Highlights

    ...o real-time operations; along with B2C as well as B2B use case scenarios. In conclusion, he stated that Big Data brings new challenges as well as new opportunities; and an appropriate strategy will enable monetization. Con Menictas, Senior Statistician, Qantas delivered an insightful talk on "Text...

    https://www.kdnuggets.com/2014/10/big-data-analytics-summit-australia-day2.html

  • The Analytics of Digital Transformation, according to TCS

    ...contributing factor to the increased user base and increased content generation. News channels and other traditional information sources have also adopted social media for information dissemination, thereby paving the way for study of people’s reactions to policies and regulations. With so much...

    https://www.kdnuggets.com/2014/11/analytics-digital-transformation-tcs.html

  • KDnuggets™ News 14:n23, Sep 3

    ...re we talked about KDnuggets origins, history of Data Mining, interesting problems I worked on, and typical problems faced by young data scientists. Top Tweets Top KDnuggets tweets, Aug 29-31 - Sep 1, 2014. Data Analytics vs Predictive Modeling vs Data Mining vs Big Data; 100 most popular machine...

    https://www.kdnuggets.com/2014/n23.html

  • Interview: Peter Alvaro, UC Berkeley, on Consistency Challenge in Distributed Systems

    ...Chaos Monkey (and other monkeys) at Netflix). In practice, the latter approach seems far more common, for a variety of reasons that I discuss in the talk. Top-down approaches can be very effective in finding bugs in complex, large-scale systems that might be intractable to verify formally....

    https://www.kdnuggets.com/2014/12/interview-peter-alvaro-berkeley-distributed-systems.html

  • Sports Analytics Innovation Summit 2014 San Francisco: Day 1 Highlights

    ...nalysis, a wide spectrum of topics were discussed. Experts shared their thoughts on how analytics are constantly evolving the way the sports industry operates, in every sense. We provide here a summary of selected talks along with the key takeaways. Here are highlights from Day 1 (Wednesday,...

    https://www.kdnuggets.com/2014/10/sports-analytics-summit-2014-san-francisco-day1.html

  • Big Data Developer Conference, Santa Clara: Day 2 Highlights

    ...rious different domains and excited to learn the best and latest in Big Data Ecosystem. The conference tutorials and talks covered a wide variety of topics including Hadoop, Lambda Architecture, MapReduce, Hive, Pig, Spark, MongoDB, etc. Highlights from Day 1 Highlights from Day 2(Tuesday, March...

    https://www.kdnuggets.com/2015/04/big-data-developer-conference-highlights-day2.html

  • Big Data BootCamp: Highlights of talks on Day 3

    ...her trend is of migration away from batch towards interactive and other modes. Now, it is more about resource management(YARN/Mesos) and less about proper Hadoop MapReduce. He mentioned some of the legacy architecture pain points such as increasing data volumes and scale, high report arrival...

    https://www.kdnuggets.com/2014/05/big-data-bootcamp-santa-clara-talks-day-3.html

  • Strata + Hadoop World 2015 San Jose – report and highlights

    ...r) in organizations. He urged attendees to explore datasets released by the federal government and build data-driven products using this data. Prof. Poppy Crum from Stanford talked about her research at Dolby Labs in the context of Big Data. Her work is focused on sensory ambiguity resolution and...

    https://www.kdnuggets.com/2015/02/strata-hadoop-world-san-jose-report.html

  • Exclusive: Interview with Chris Wiggins, NYTimes Chief Data Scientist

    ...elated: Top KDnuggets tweets, Nov 19-20, including Every publisher now a start-up, says NYT Top Data Scientist @chrishwiggins: Newspaper ad revenue drops dramatically t.co/gx0xjlJXTw Top KDnuggets tweets, Jul 25-27, including NYTimes Chief Data Scientist Chris Wiggins on how we create and consume...

    https://www.kdnuggets.com/2015/01/exclusive-interview-chris-wiggins-nytimes-chief-data-scientist.html

  • Big Data Innovation Summit 2014 Toronto: Day 1 Highlights

    ...iveness of public health messages. Alan Khara, Director, Information and Communication Technology, First Nations Education Steering Committee (FNESC) talked about the prevalent misconceptions around Big Data in his talk "Five Great Myths About Big Data". Big Data may eventually lead to the...

    https://www.kdnuggets.com/2014/08/big-data-innovation-summit-2014-toronto-day1.html

  • Manufacturing Analytics Summit 2014 Chicago: Day 1 Highlights

    ...rchitecture provides various important capabilities (such as collaboration, visibility, control) to Analytics applications. Barry Gujral, Director of Operational Excellence, Patheon gave an insightful talk on "Pharmaceutical Analytics - An Innovative Tool to Maximize Returns". Pharmaceutical...

    https://www.kdnuggets.com/2014/07/manufacturing-analytics-innovation-summit-2014-chicago-day1.html

  • Big Data & Analytics in Healthcare Summit 2014 Philadelphia: Day 1 Highlights

    ...transparency, provide for flexibility in information transference, prefer in-house solutions over vendor-generated solutions, and close the quality loop. Raj Gopalan, Regional CMIO, Adventist Health gave an interesting talk on "Healthcare Analytics Driven Optimization for Patient Safety and...

    https://www.kdnuggets.com/2014/07/big-data-analytics-healthcare-summit-2014-day1.html

  • Big Data & Analytics in Healthcare Summit 2014 Philadelphia: Day 2 Highlights

    ...s along with the key takeaways. Highlights from Day 1. Here are highlights from Day 2 (Friday, May 16, 2014): Michael Sturmer, Sr. Director, Clinical Operations, Cigna talked about how data can empower health care consumers in his talk titled "Engagement Strategies, Segmentation, Micro-Targeting...

    https://www.kdnuggets.com/2014/07/big-data-analytics-healthcare-summit-2014-day2.html

  • Predictive Analytics Innovation Summit 2014 London: Day 2 Highlights

    ...everything NOW, no more room for latency), and there is a lot of information to process (larger context is required for deep learning). By using Hadoop and open source statistical language and tools such R and Python, firms can execute a variety of machine learning algorithms, and scale them out...

    https://www.kdnuggets.com/2014/07/predictive-analytics-innovation-summit-2014-day2.html

  • Future of Consumer Intelligence 2014: Day 1 Highlights

    ...elpful to think about them the way they think about themselves, but people do not think of themselves as “consumers”. He admonished the audience to stop calling people consumers. The term “consumer” objectifies and reduces people to a single dimension. Havens explained that a shiny new Lexus may...

    https://www.kdnuggets.com/2014/07/future-consumer-intelligence-2014-highlights-day1.html

  • Best Big Data, Data Science, Data Mining, and Machine Learning podcasts

    ...ll explains how Twitter,is using Apache Mesos and Apache Aurora, and gets more for their money for the hardware and saves engineering time (both development and operations) by utilizing fine grained resources scheduling across their infrastructure. Data Stories, 56 episodes, iTunes If data...

    https://www.kdnuggets.com/2015/06/best-big-data-data-science-data-mining-machine-learning-podcasts.html

  • Big Data for Executives 2014: Day 1 Highlights

    ...kers. Here are highlights from selected talks on day 1(Thursday, May 5): Ankur Gupta, IT Director – Big Data, Sears Holdings delivered an interesting talk on "Hadoop-Enabled Business Intelligence Use Cases". He started with giving the following facts from a recent Wikibon survey: 46% of Big Data...

    https://www.kdnuggets.com/2014/05/big-data-executives-highlights-day-1.html

  • Big Data for Executives 2014: Day 2 Highlights

    ...tegy Have a killer plan   He concluded stating “Machine Learning is great but keep the humans involved”. Imran Siddiqi, Principal at SAP America talked about how to develop strategy and build business case for Big Data. Even though Big Data is on the radar of leadership in every industry, it...

    https://www.kdnuggets.com/2014/05/big-data-executives-highlights-day-2.html

  • Business Analytics Innovation Summit 2014 Chicago: Day 1 Highlights

    ...ent client experience), Link (link plans to fix gaps with strategic goals), Test (pilot concepts), Launch (roll-out winners), and Monitor (continuous optimization). To develop a holistic understanding of clients, prioritize client data with highest impact (such as demographics or share of wallet)...

    https://www.kdnuggets.com/2014/07/business-analytics-innovation-summit-2014-chicago-day1.html

  • Social Media & Web Analytics Innovation Summit 2014: Day 1 Highlights

    ...rowds matters the most and explained how connections between people in crowds clearly define sub-groups. Social Media is all about connections from people to people. Each event that occurs leaves behind a pattern, which can be analyzed and used to predict similar upcoming events. As more social...

    https://www.kdnuggets.com/2014/05/social-media-web-analytics-summit-san-francisco-talks-day-1.html

  • MetaMind Mastermind Richard Socher: Uncut Interview

    .... You also need the people, engineering, packaging and data to actually put together a product. That's why some companies like Cloudera can exist on top of a largely open source stack. ZL: This raises the issue of reproducibility in scientific research. Where do we draw the line for how much detail...

    https://www.kdnuggets.com/2015/10/metamind-mastermind-richard-socher-deep-learning-interview.html

  • Key Trends and Takeaways from RE•WORK Deep Learning Summit Montreal – Part 1: Computer Vision

    ...ence off. A full listing of the speakers and schedule can be found here. Aaron Courville, of the University of Montreal, kicked off the research developments track of the conference with his talk titled Visual Reasoning via Feature-wise Linear Modulation. He started with a quick summary of the...

    https://www.kdnuggets.com/2017/10/key-takeaways-rework-deep-learning-summit-montreal.html

  • Meet Lucy: Creating a Chatbot Prototype

    ...ata Science at TD Bank and works on applying advanced machine learning techniques to solve problems such as fraud detection, customer acquisition and operations improvement. In his spare time Devashish tinkers with AWS and Google cloud to develop digital products. Related: Chatbots on Steroids: 10...

    https://www.kdnuggets.com/2017/09/meet-lucy-chatbot-prototype.html

  • Rich Data Summit Takeaways

    ...g economy, fraud prevention, and more. Humans in the Loop Not surprisingly, a prominent theme of the conference was data science with humans in the loop. I lost count of how many talks restated something to the effect of "let computers do what they do best let humans do what they do best." This...

    https://www.kdnuggets.com/2015/10/rich-data-summit-takeaways-lukas-biewald-nate-silver.html

  • Getting Started with Machine Learning in One Hour!

    ...nally use Python programming language, hence I’ll elaborate on that below. Must know Python Libraries: numpy, pandas, scikit-learn, matplotlib Other popular python libraries: LightGBM, XGBoost, CatBoost   Quick Start Option   If you want to get a taste of what is Machine Learning about...

    https://www.kdnuggets.com/2017/11/getting-started-machine-learning-one-hour.html

  • NIPS 2017 Key Points & Summary Notes

    ...who might be harmed? To put fairness first, we must ask this question.   Download David's full PDF notes here.   Related: Watch the Best of Open Data Science Talks of 2017 for Free Key Takeaways from AI Conference in San Francisco 2017 – Day 1 Key Takeaways from Open Data Science...

    https://www.kdnuggets.com/2017/12/nips-2017-key-points-summary-notes.html

  • Key Takeaways from the Strata San Jose 2018

    ...l accuracy.   Jeff Dean, Google Senior Fellow @ Google   Using Deep Learning to Solve Challenging Problems   This was one of the most popular talks – the room filled out and overflowed – many people were turned away. Suggestion: Strata should provide a live screen outside the halls...

    https://www.kdnuggets.com/2018/07/key-takeaways-strata-san-jose.html

  • Jupyter Pop-up coming to Boston on March 21

    ...on the local community. We'll have a dozen talks, a panel discussion, an “Ask Me Anything” with experts on the project, plus lots of time to meet and talk with people who share common interests and concerns. The timing is quite interesting for Jupyter. Success stories from 2016-17 such as the data...

    https://www.kdnuggets.com/2018/02/jupyter-popup-boston-march.html

  • KDD-2014 – The Biggest, Best, and Booming Data Science Meeting

    ...g, is limited in its potential and proposed a knowledge-driven method - building a very complex knowledge base. As a test of their system, he is developing an open question answering system which will be able to answer questions from 4th grade science exams. Here are some of my tweets from his talk...

    https://www.kdnuggets.com/2014/08/kdd-2014-biggest-best-booming-data-science-meeting.html

  • A Non-comprehensive List of Awesome Things Other People Did in 2016

    ...my head. If you know of some, you should make your own list or add it to the comments! I have also avoided talking about stuff I worked on or that people here at Hopkins are doing because this post is supposed to be about other people’s awesome stuff. I write this post because a blog often feels...

    https://www.kdnuggets.com/2017/01/leek-list-awesome-things-people-2016.html

  • Interview: Vita Markman, LinkedIn on Practical Solutions for Sentiment Mining Challenges

    ...mbers on annotation code-book design as well as on implementation of inter-annotator agreement metrics such as pairwise Kappa statistic. Creating a proper annotation code-book is critical for the development of a solid machine learning model. Annotation code-books are particularly difficult and...

    https://www.kdnuggets.com/2014/08/interview-vita-markman-linkedin-sentiment-mining.html

  • Customer Analytics Summit 2014 Chicago: Day 2 Highlights

    ...icrosoft Mobile server on its way to the destination website. The Microsoft Mobile server receives the page from the destination website, renders and optimizes it for user’s device, compresses the data and sends the response back to user’s device. This optimization can shrink web pages...

    https://www.kdnuggets.com/2014/09/customer-analytics-summit-2014-chicago-day2.html

  • The Data Science Conference 2015 Highlights

    ...o sell meant more time for me to actually have conversations about data science" -Dana Ferguson, Expert Data Scientist, Allstate, Speaker Conference Topics: The talks focused on a wide range of topics including data science education, machine learning & Artificial Intelligence applications,...

    https://www.kdnuggets.com/2015/11/data-science-conference-highlights.html

  • Big Data Innovation Summit 2014 Toronto: Day 2 Highlights

    ...unknown unknowns". It is very important to identify the focus areas and ask the right questions. The focus should be on the biggest and highest value opportunities, and within each opportunity, start with questions, not data. Early focus should be on areas that involve no more than first or second...

    https://www.kdnuggets.com/2014/08/big-data-innovation-summit-2014-toronto-day2.html

  • The Star Wars social networks – who is the central character?

    …ode I: The Phantom Menace Open network Episode II: Attack of the Clones Open network Episode III: Revenge of the Sith Open network Episode IV: A New Hope Open network Episode V: The Empire Strikes Back Open network Episode VI: Return of the Jedi Open network Importance of characters The individual…

    https://www.kdnuggets.com/2015/12/star-wars-social-network-who-is-central-character.html

  • 7 Steps to Mastering Apache Spark 2.0">Silver Blog7 Steps to Mastering Apache Spark 2.0

    ....filter(p= >p.age > 55) // a dataframe with structure with named columns fname, lname, age, weight // access using col name notation Val seniorDF = peopleDF.where(peopleDF("age") > 55) // equivalent Spark SQL code val seniorDF = spark.sql("SELECT age from person where age > 35") To get a world-wind...

    https://www.kdnuggets.com/2016/09/7-steps-mastering-apache-spark.html

  • Top LinkedIn Groups in 2014 for Analytics, Big Data, Data Mining, and Data Science

    ...scussions and comments has increased. The chart below shows average comments/week vs average discussions/week for all 30 groups, with a circle size proportional to group size and circle color corresponding to activity change - green meaning increase, red decrease. We also show median lines for each...

    https://www.kdnuggets.com/2014/04/top-2014-linkedin-groups-analytics-big-data-mining-data-science.html

  • Top 30 LinkedIn Groups for Analytics, Big Data,
    Data Mining, and Data Science

    ...of the "Big Data" buzz. LinkedIn Group Founded Members /Month Big Data and Analytics 1-Mar-12 2860 Big Data / Analytics / Strategy / FP&A / S&OP ... 20-Feb-09 1194 Advanced Business Analytics, Data Mining and Predictive Modeling 28-Sep-07 1125 Data Science Central 10-Feb-12 660 Business...

    https://www.kdnuggets.com/2013/04/top-30-linkedin-groups-analytics-big-data-data-mining-data-science.html

  • Top 2013 LinkedIn Groups for Analytics, Big Data,
    Data Mining, and Data Science

    ...Some groups (eg "Actuary") seem to have a rather low level of both discussions and comments. Since most activity is generated by a small number of people, it would be interesting to see how many people contribute to discussions and comments - an active core of the group. Perhaps LinkedIn could add...

    https://www.kdnuggets.com/2013/12/top-linkedin-groups-analytics-big-data-data-mining-data-science-2013.html

  • 2018’s Top 7 Python Libraries for Data Science and AI">Gold Blog2018’s Top 7 Python Libraries for Data Science and AI

    ...spyspark Usage: As one example, you can load data from a url, transform it, and apply some predefined cleaning functions: from optimus import Optimus op = Optimus() # This is a custom function def func(value, arg): return "this was a number" df...

    https://www.kdnuggets.com/2019/01/vazquez-2018-top-7-python-libraries.html

  • 37 Reasons why your Neural Network is not working">Silver Blog, Aug 201737 Reasons why your Neural Network is not working

    …mizer Your choice of optimizer shouldn’t prevent your network from training unless you have selected particularly bad hyperparameters. However, the proper optimizer for a task can be helpful in getting the most training in the shortest amount of time. The paper which describes the algorithm you are…

    https://www.kdnuggets.com/2017/08/37-reasons-neural-network-not-working.html

  • Credible Sources of Accurate Information About AI

    ...ews and research from the previous week. You can check out previous issues (or sign up) here. Jack Clark is Strategy & Communications Director at OpenAI. Mariya Yao’s writing on Topbots and on Forbes. Mariya is CTO and head of R&D for Topbots, a strategy and research firm for applied...

    https://www.kdnuggets.com/2017/10/credible-sources-accurate-information-ai.html

  • Overcoming the Last Hurdle in the Quest for the “Holy Grail” of Marketing

    ...dentity? Another issue is that the physical boundaries between individual consumers do not carry over straightforwardly into the digital realm. For people who are truly only related by a chance encounter in a coffee shop, it is quite easy to separate their devices based on even a little...

    https://www.kdnuggets.com/2017/02/quest-holy-grail-marketing.html

  • Author of “Everybody Lies” to Speak at Predictive Analytics World NYC

    ...he discount code KDN150. Co-located events: PAW  Financial & PAW Healthcare. This PAW Business event is held alongside PAW Financial and PAW Healthcare; financial services focused and healthcare focused sessions will be located there. Available cross-registration...

    https://www.kdnuggets.com/2017/07/paw-nyc-author-everybody-lies.html

  • Optimus v2: Agile Data Science Workflows Made Easy

    ...ecurity| 7| ironhide security| |bumblebee| 17.5|espionage| 7|bumblebee espionage| +---------+------+---------+----+-------------------+   Unnest Operation Operations that create multiple columns from a single one 1 -> *. unnest()can expand string, array and vectors columns....

    https://www.kdnuggets.com/2018/08/optimus-v2-agile-data-science-workflows-made-easy.html

  • Interpretability: Cracking open the black box, Part 2

    ...ersion for purely no other reason other than convenience. According to Strobl et al. [3], “the raw [permutation] importance… has better statistical properties.” as opposed to normalizing the importance values by dividing by the standard deviation. I have checked the source code for mlxtend and...

    https://www.kdnuggets.com/2019/12/interpretability-black-box-part-2.html

  • Verizon: Business Intelligence Lead/Consultant-NJ

    ...ills Proficiency in engaging and influencing large teams and functional leaders Experience and competency in supply chain management Equal Employment Opportunity We're proud to be an equal opportunity employer - and celebrate our employees' differences, regardless of race, color, religion, gender,...

    https://www.kdnuggets.com/jobs/16/03-11-verizon-business-intelligence-lead-consultant-nj.html

  • Predictive Analytics Introductory Key Terms, Explained

    ...opular, award-winning book, Predictive Analytics: The Power to Predict Who Will Click, Buy, Lie, or Die (Revised and Updated, 2016), which has been adopted as a textbook at over 35 universities—but reads like pop science, dubbed “The Freakonomics of big data.” 1. Predictive Analytics Technology...

    https://www.kdnuggets.com/2016/07/siegel-predictive-analytics-key-terms-explained.html

  • Drexel University: 2 Teaching Faculty Positions in Data Science [Philadelphia, PA]

    ...he College of Computing & Informatics is comprised of approximately 60 faculty and 2,000 students. Drexel has one of the largest and best-known cooperative education programs in the country, with over 1,600 co-op employers. Drexel's University City campus is located on Philadelphia’s “Avenue of...

    https://www.kdnuggets.com/jobs/18/11-27-drexel-faculty-positions-data-science.html

  • Top /r/MachineLearning Posts, April: Why Momentum Really Works; Machine Learning with Scikit-Learn & TensorFlow

    ...it, but it's back-ordered on Amazon at the moment (edit: it was back-ordered at the time of writing, but I am happy ot report I have since ordered a copy). As the OP posed a question asking if anyone had feedback on the book, here is a corresponding Reddit discussion which is compesed of some back...

    https://www.kdnuggets.com/2017/05/top-reddit-machine-learning-april.html

  • Top /r/MachineLearning Posts, December: The Secret Sauce, OpenAI, Google vs. Facebook

    ...threat. While I say this in jest, it is worth noting that OpenAI takes safeguarding against the potential hazards of AI seriously. In the near term, OpenAI hopes to pursue research and work toward the next set of breakthroughs. We wish OpenAI luck as they seek real justice by - and from -...

    https://www.kdnuggets.com/2016/01/top-reddit-machine-learning-december.html

  • 5 Not-to-be-Missed Ideas about Big Data

    ...ig data in the form of behaviors and small data in the form of surveys complement each other   Data teams should hire social psychologists, anthropologists and sociologists   Human experts help data experts figure out what they are missing  Here are some old posts on the blog that...

    https://www.kdnuggets.com/2015/05/5-key-ideas-big-data.html

Refine your search here:

Sign Up

By subscribing you accept KDnuggets Privacy Policy