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Neural Networks
Building Machine Learning Powered Applications by Emmanuel Ameisen
epub |eng | 2019-06-15 | Author:Emmanuel Ameisen

Dimensionality Reduction for Errors We described vectorization and dimensionality reduction techniques for data exploration in “Vectorizing” and “Dimensionality reduction”. Let’s see how the same techniques can be used to make ...
( Category: Machine Theory February 26,2020 )
Applied Unsupervised Learning with R by Alok Malik
epub |eng | 2019-03-25 | Author:Alok Malik

Principal Component Analysis The next type of dimension reduction method we will cover is called PCA. This is a very common technique used by researchers in a wide variety of ...
( Category: Machine Theory February 26,2020 )
Natural Language Processing in Action by Hobson Lane & Cole Howard & Hannes Hapke
epub |eng | 2019-04-13 | Author:Hobson Lane & Cole Howard & Hannes Hapke [Lane, Hobson & Howard, Cole & Hapke, Hannes]

( Category: Neural Networks February 26,2020 )
Deep Learning With Python by Francois Chollet
epub |eng | 2017-10-27 | Author:Francois Chollet [Chollet, Francois]

Figure 6.2. Whereas word representations obtained from one-hot encoding or hashing are sparse, high-dimensional, and hardcoded, word embeddings are dense, relatively lowdimensional, and learned from data. There are two ways ...
( Category: Neural Networks February 24,2020 )
Artificial Intelligence for Everyone by Finlay Steven
epub |eng | 2020-01-26 | Author:Finlay, Steven [Finlay, Steven]

Artificial intelligence is most effective at supporting the automation of tasks when: Tasks are well defined. You can understand clearly what’s involved in doing it. There is lots of data ...
( Category: Neural Networks February 17,2020 )
Hands-On Natural Language Processing with Python by Arumugam Rajesh; Shanmugamani Rajalingappaa;
epub |eng | 2018-07-18 | Author:Arumugam, Rajesh; Shanmugamani, Rajalingappaa;

The second method is a smarter way of labeling words, by using neighboring tags that are made available through an approach likely similar to the first step. For example, if ...
( Category: Neural Networks February 17,2020 )
Python Reinforcement Learning Projects by Sean Saito
epub |eng | 2018-09-28 | Author:Sean Saito

( Category: Machine Theory January 19,2020 )
Machine Learning Systems: Designs that scale by Jeff Smith
mobi, epub |eng | 2018-06-01 | Author:Jeff Smith

What’s your favorite food? Do you like to go out or are you more of a cave-body? Do you want to have cubs someday? In the first version of their ...
( Category: Testing January 10,2020 )
Hands-On Machine Learning for Algorithmic Trading by Stefan Jansen
epub, pdf |eng | 2019-04-25 | Author:Stefan Jansen

( Category: Neural Networks November 29,2019 )
Python Deep Learning. by Ivan Vasilev
epub |eng | 2019-04-25 | Author:Ivan Vasilev

( Category: Intelligence & Semantics November 29,2019 )
Hands-On Reinforcement Learning with Python by Sudharsan Ravichandiran
epub |eng | 2019-04-24 | Author:Sudharsan Ravichandiran

( Category: Neural Networks November 29,2019 )
GANs in Action by Jakub Langr & Vladimir Bok
epub |eng | 2019-09-23 | Author:Jakub Langr & Vladimir Bok [Jakub Langr]

( Category: Intelligence & Semantics November 14,2019 )
Programming PyTorch for Deep Learning by Ian Pointer
epub |eng | 2019-09-27 | Author:Ian Pointer

start_time = time.process_time() b.__getitem__(33) end_time = time.process_time() end_time - start_time >> 0.0031465259999094997 Obtaining an element from this dataset takes roughly the same time as in our original audio-based one, so ...
( Category: Machine Theory November 4,2019 )
Python Machine Learning By Example by Yuxi (Hayden) Liu;
epub, pdf |eng | 2019-02-28 | Author:Yuxi (Hayden) Liu; [Неизв.]

( Category: Machine Theory October 11,2019 )
Building Recommender Systems with Machine Learning and AI: Help people discover new products and content with deep learning, neural networks, and machine learning recommendations. by Kane Frank
epub |eng | 2018-08-10 | Author:Kane, Frank [Kane, Frank]

Using Keras So we've had a look at developing neural networks using Tensorflow’s lower-level APIs, where instead of really thinking about neurons or units, you're thinking more about tensors and ...
( Category: Intelligence & Semantics October 6,2019 )

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