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Search results for 广州户式水机会漏水么?中央空调与地暖比较24小时服务热线:4000-938-959

    Found 35 documents, 11602 searched:

  • Semi-supervised Feature Transfer: The Practical Benefit of Deep Learning Today?

    ...Other sticking points? It only works for sentiment analysis. Click to see how the curve changes when the model is trained on 25, 100, 500, 1000, 2000, 4000 examples. All models tested on 4000 examples. Strategy C: Custom model using general text features   The general effectiveness of n-grams,...

    https://www.kdnuggets.com/2016/07/semi-supervised-feature-transfer-deep-learning.html

  • Optimization Using R

    ...constraints > set.objfn(lprec, c(143, 60)) > add.constraint(lprec, c(120, 210), "<=", 15000) > add.constraint(lprec, c(110, 30), "<=", 4000) > add.constraint(lprec, c(1, 1), "<=", 75) Let’s have a look at the LP problem that we have defined. > lprec Model name: C1 C2...

    https://www.kdnuggets.com/2018/05/optimization-using-r.html

  • Looking Normal(ly Distributed)

    ...e alternative is that it’s non-normal. It’s in base R (as shapiro.test()) and it has good power among various normality tests, although we’ll be using 4000 samples for each test, which is enough that many tests are very reliable. The p-value will be our metric for how normal it looks. We aren’t...

    https://www.kdnuggets.com/2020/05/looking-normally-distributed.html

  • Deep Learning in H2O using R

    ...e 1, let us consider an input dataset of 150 * 12000 dimensions (150 rows, 12000 columns). We create a Deep network with 4 hidden layers consisting of 4000, 750, 200, 30 neurons. All the 12000 data points in the input layer are used to construct the 4000 pseudo-features of the first hidden layer....

    https://www.kdnuggets.com/2018/01/deep-learning-h2o-using-r.html

  • Basics of Audio File Processing in R

    ...rate, format, and bandwidth. Sample rate (or sampling frequency) is the number of samples per second in a Sound. For example: if the sampling rate is 4000 hertz, a recording with a duration of 5 seconds will contain 20,000 samples. Pitch is the frequency of the fundamental component in the sound,...

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

  • Custom Optimizer in TensorFlow

    ...lidian 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 = tf.Variable(initial_value=tf.random_uniform([1],...

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

  • iSight Cloud – Lightning fast visualizations on large data sets

    ...oncurrent users if we want an acceptable response time. Say we want to run 10 concurrent equivalent queries (supporting lot more users), we would need 4000 cores for a TB of data. If such a workload were to be deployed on AWS, and run on compute optimized c4.8xlarge machines (assume each one has...

    https://www.kdnuggets.com/2016/11/snappydata-isight-cloud-fast-visualizations-large-data.html

  • An Introduction to Monte Carlo Tree Search

    ...ence: 99$, 100$, 115$ and 120$. Now you want to test how those prices will perform and which to choose eventually. During first day of your experiment 4000 people visited your shop when the first price (99$) was tested and 368 bought the product, for the rest of the prices we have the following...

    https://www.kdnuggets.com/2017/12/introduction-monte-carlo-tree-search.html

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

    ...Machine Learning for Social Change by Fernand Pajot, Change.org Change.org is the world’s largest petition platform with about 300 million signatures, 4000 declared victories in 121 countries and about 20 million users experiencing victory making petitions successful. Talking about the data...

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

  • Data Science of Visiting Famous Movie Locations in San Francisco

    comments By Juraj Kapasny, Knoyd. Let the data science show you the optimal route through famous San Francisco movie locations In this blog we take a look at movie locations in San Francisco. Using the Google Places API and IMDb API we selected places in the Golden City, which every movie fan...

    https://www.kdnuggets.com/2016/07/visiting-famous-movie-locations-san-francisco.html

  • Klout Top Big Data Influencers

    Klout highlights the following 9 accounts as Top Big Data Influencers, but clicking on See all influencers shows a total of 29 influencers, some with higher scores than those 9 highlighted (thanks to Jose M Gomez Hidalgo @jmgomez for pointing this out). Here is a list of top 20 Klout Big Data...

    https://www.kdnuggets.com/2013/03/klout-top-big-data-influencers.html

  • Building a Data Science Portfolio: Machine Learning Project Part 1

    ...1 |P|MD| 208 | |FRM| 788 100006367485 |C|PHH MORTGAGE CORPORATION| 4 | 229000 | 360 | 02 / 2012 | 04 / 2012 | 67 | 67 | 2 | 36 | 802 |N|R|SF| 1 |P|CA| 959 | |FRM| 794 Here are the first few rows of the performance data from quarter 1 of 2012: 100000853384 | 03 / 01 / 2012 |OTHER| 4.625 | | 0 | 360...

    https://www.kdnuggets.com/2016/07/building-data-science-portfolio-machine-learning-project-part-1.html

  • Using Confusion Matrices to Quantify the Cost of Being Wrong

    ...ith Wolf Detection Application True Condition Predicted Condition 5,000 Observations True (Wolf) False (Dog) True (Wolf) True Positive = 4,000 No cost 4000 / 5000 = 80% False Positive = 200 Cost per occurrence = $2,000 200 / 5000 = 4% False (Dog) False Negative = 50 Cost per occurrence = $5,000 50...

    https://www.kdnuggets.com/2018/10/confusion-matrices-quantify-cost-being-wrong.html

  • YouTube videos on database management, SQL, Datawarehousing, Business Intelligence, OLAP, Big Data, NoSQL databases, data quality, data governance and Analytics – free

    ...own international journals and presented at top conferences. He is also author of the book Beginning Java Programming (Wiley, 2015) of which more than 4000 copies were sold and which was also translated in Russian. Seppe's teaching includes Advanced Analytics, Big Data and Information Management...

    https://www.kdnuggets.com/2018/05/baesens-youtube-videos-database-management-sql-big-data-analytics-free.html

  • GANs in TensorFlow from the Command Line: Creating Your First GitHub Project

    comments By Rubens Zimbres, Data Scientist I started contributing to GitHub in 2016. Since then my repos have more than 100 different files with Machine Learning, Deep Learning and Natural Language Processing codes I developed while studying Data Science. But they are simple repository of codes,...

    https://www.kdnuggets.com/2018/05/zimbres-first-github-project-gans.html

  • To SQL or not To SQL: that is the question!

    ...own international journals and presented at top conferences. He is also author of the book Beginning Java Programming (Wiley, 2015) of which more than 4000 copies were sold and which was also translated in Russian. Seppe's teaching includes Advanced Analytics, Big Data and Information Management...

    https://www.kdnuggets.com/2018/05/sql-not-sql-question.html

  • Fixing a Major Weakness in Machine Learning of Images with Hinton’s Capsule Networks

    ...lenet5(lenet5_model) #save the model parameters #torch.save(lenet5_model.state_dict(), "./lenet5_trained.pt")   #output [1, 2000] loss: 1.135 [1, 4000] loss: 0.521 ... [14, 6000] loss: 0.051   The dynamic routing algorithm for training capsule networks is more computationally demanding...

    https://www.kdnuggets.com/2019/05/machine-learning-images-hinton-capsule-networks.html

  • Top Python Libraries for Deep Learning, Natural Language Processing & Computer Vision">Gold BlogTop Python Libraries for Deep Learning, Natural Language Processing & Computer Vision

    ...is the Python Imaging Library. 25. OpenCV Stars: 49600, Commits: 29453, Contributors: 1234 Open Source Computer Vision Library 26. scikit-image Stars: 4000, Commits: 12352, Contributors: 403 Image processing in Python 27. Mahotas Stars: 644, Commits: 1273, Contributors: 25 Mahotas is a library of...

    https://www.kdnuggets.com/2020/11/top-python-libraries-deep-learning-natural-language-processing-computer-vision.html

  • Alternative Data, Text Analytics, and Sentiment Analysis in Trading and Investing

    .... Prediction accuracy is only one part of a trading model, and it is often misunderstood. The most quoted academic paper on this subject has more than 4000 academic citations but shows a lack of understanding of what a prediction is. This field is attracting more interest and resources. It is...

    https://www.kdnuggets.com/2020/03/alternative-data-text-analytics-sentiment-analysis-investing.html

  • Top KDnuggets tweets, Feb 05-11: #SciPy 1.0: fundamental algorithms for scientific computing in #Python; Why is Data Science so popular?

    ..., And Tricks; 7 Books to Grasp #Math of #DataScience and #MachineLearning https://t.co/DRmRNOB22q https://t.co/7yG3hvE5Ec #Python vs R: How to Analyse 4000 Job Advertisements Using Shiny & #MachineLearning #rstats https://t.co/nb63XEVn4g https://t.co/5gkdzNjNeN #SciPy 1.0: fundamental...

    https://www.kdnuggets.com/2020/02/top-tweets-feb05-11.html

  • A Single Function to Streamline Image Classification with Keras

    ...of your folder where training images are stored, and give you back a fully trained CNN model.   The dataset   We use a dataset consisting of 4000+ images of flowers for this demo. The dataset can be downloaded from the Kaggle website here. The data collection is based on the data Flickr,...

    https://www.kdnuggets.com/2019/09/single-function-streamline-image-classification-keras.html

  • To Kaggle Or Not

    ...as a discussion board for asking questions and upvoting kernels and topics. Slack Kaggle has a Slack team: KaggleNoobs slack channel. There are almost 4000 members, and there is a channel for AMA (Ask Me Anything), where they regularly interview Kaggle participants and winners. Choices You can...

    https://www.kdnuggets.com/2018/05/to-kaggle-or-not.html

  • Forecast Your Future With Analytics Insights From Google, Bloomberg & others

    ...ractice, with interactive presentations from 35+ analytics experts, workshops, useful networking with 150+ peers from diverse industries and access to 4000+ hours of On-Demand presentations.          Enjoy exclusive access to this past presentation from:  Expert :...

    https://www.kdnuggets.com/2016/12/forecast-future-analytics-insights-google-bloomberg.html

  • R Programming: Who, Where and What

    …re is the US and then there is the rest of the world. The US has over 25% of all R programmers. Coming at distant second position is India, with about 4000 to 6000 R Programmers (US has twice this number or a bit more). Canada has over a 1000 R Programmers. The rest of world is just waking up to R….

    https://www.kdnuggets.com/2015/08/r-programming-who-where-what.html

  • Arabesque Distributed Graph Mining Platform

    By Georgos Siganos, QCRI . Distributed data processing platforms such as MapReduce and Pregel (Giraph, GraphLab, Graph-X) have substantially simplified the design and deployment of certain classes of distributed graph analytics algorithms such as computing Pagerank, SSP, CC etc. Cliques of size…

    https://www.kdnuggets.com/2015/11/arabesque-distributed-data-mining-platform.html

  • How to Lead a Data Science Contest without Reading the Data

    comments By Moritz Hardt Machine learning competitions have become an extremely popular format for solving prediction and classification problems of all sorts. The most famous example is perhaps the Netflix prize. An even better example is Kaggle, an awesome startup that’s organized more than a…

    https://www.kdnuggets.com/2015/05/data-science-contest-leaderboard-without-reading-data.html

  • Book: R for Business Analytics

    ...ess Analytics looks at some of the most common tasks performed by business analysts and helps the user navigate the wealth of information in R and its 4000 packages. With this information the reader can select the packages that can help process the analytical tasks with minimum effort and maximum...

    https://www.kdnuggets.com/2014/03/book-r-for-business-analytics

  • SBP 2013: Big Data Challenge

    From: Int. Conference on Social Computing, Behavioral-Cultural Modeling, and Prediction (SBP 2013) Washington, DC, April 2-5, 2013 www.sbp2013.org/challenge.shtml SBP is pleased to offer a challenge problem again in 2013, and we expect it to build on the successes of last year's inaugural...

    https://www.kdnuggets.com/2013/01/sbp-2013-big-data-challenge.html

  • Microsoft Deep Learning Brings Innovative Features – CNTK Shows Promise

    ...mics. It was officially released for the masses on January 25, 2016. After 2 short days in the wild, CNTK had 25 logged issues; it also had upwards of 4000 stars and 500+ forks. Clearly, such a move (open-sourcing) should help the development team identify and iron out bugs in a much more efficient...

    https://www.kdnuggets.com/2016/02/microsoft-deep-learning-brings-innovative-features.html

  • 5 Deep Learning Projects You Can No Longer Overlook

    Deep learning libraries and frameworks such as Theano, Keras, Caffe, and TensorFlow have gained enormous recent popularity. In fact, Google's TensorFlow is the most starred machine learning repository on Github. By a lot. TensorFlow, despite being in the wild for little more than 6 months, has...

    https://www.kdnuggets.com/2016/07/five-deep-learning-projects-cant-overlook.html

  • Understanding Deep Convolutional Neural Networks with a practical use-case in Tensorflow and Keras">Silver BlogUnderstanding Deep Convolutional Neural Networks with a practical use-case in Tensorflow and Keras

    comments By Ahmed Besbes Original. Reposted with permission. Deep learning is one of the most exciting artificial intelligence topics. It's a family of algorithms loosely based on a biological interpretation that have proven astonishing results in many areas: computer vision, natural language...

    https://www.kdnuggets.com/2017/11/understanding-deep-convolutional-neural-networks-tensorflow-keras.html

  • AI Conference in San Francisco, Sep 2017 – highlights and key ideas

    ...ications with your new super power: Cloud AI Philippe Poutonnet (Google) showed how Deep Learning is being adopted rapidly inside of Google (more than 4000 team project directories that contain Brain models). 10% of all responses sent on mobile used the Smart reply feature in Gmail, which uses...

    https://www.kdnuggets.com/2017/09/jsmudhol-ai-conference-san-francisco-highlights.html

  • Medical Image Analysis with Deep Learning 

    ...gns water as an attenuation value (HU) of zero. The range of CT numbers is 2000 HU wide although some modern scanners have a greater range of HU up to 4000. Each number represents a shade of grey with +1000 (white) and –1000 (black) at either end of the spectrum. Hounsfield Scale [credits:...

    https://www.kdnuggets.com/2017/03/medical-image-analysis-deep-learning.html

  • Analytics Innovation Festival Arrives In Chicago Nov 29 & 30

    ...this past presentation from Barclays discussing ‘Getting Predictive Analytics Into Production’.   Intrigued by all four events? Access All Areas Passes grant entry to all co-located summits and access to an annual Analytics On Demand subscription with 4000+ hours of content....

    https://www.kdnuggets.com/2016/10/analytics-innovation-festival-chicago.html

  • A Day in the Life of an AI Developer">Silver BlogA Day in the Life of an AI Developer

    ...at needed fixing, but after another 10 minutes, the model was training. 12 PM I had created a model that would train for 100 epochs on a batch size of 4000 and I noticed from the average step time in the logs that this would probably take more than 18 days to train. Not a good idea and clearly no...

    https://www.kdnuggets.com/2018/01/day-life-ai-developer.html

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