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Python Machine Learning by Example

Python Machine Learning by Example

By : Yuxi (Hayden) Liu
4 (20)
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Python Machine Learning by Example

Python Machine Learning by Example

4 (20)
By: Yuxi (Hayden) Liu

Overview of this book

Python Machine Learning By Example, Third Edition serves as a comprehensive gateway into the world of machine learning (ML). With six new chapters, on topics including movie recommendation engine development with Naïve Bayes, recognizing faces with support vector machine, predicting stock prices with artificial neural networks, categorizing images of clothing with convolutional neural networks, predicting with sequences using recurring neural networks, and leveraging reinforcement learning for making decisions, the book has been considerably updated for the latest enterprise requirements. At the same time, this book provides actionable insights on the key fundamentals of ML with Python programming. Hayden applies his expertise to demonstrate implementations of algorithms in Python, both from scratch and with libraries. Each chapter walks through an industry-adopted application. With the help of realistic examples, you will gain an understanding of the mechanics of ML techniques in areas such as exploratory data analysis, feature engineering, classification, regression, clustering, and NLP. By the end of this ML Python book, you will have gained a broad picture of the ML ecosystem and will be well-versed in the best practices of applying ML techniques to solve problems.
Table of Contents (17 chapters)
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15
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16
Index
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Index

Symbols

A

actions 453, 454

action-value 473

activation function 256

activation functions

linear 268

ReLU 268

sigmoid 268

softmax 268

tanh 268

ad click-through

predicting, with logistic regression 165, 166

ad click-through prediction 110

with decision tree 134, 136, 137, 138, 139, 140

adjusted R² 245

agent 453, 454

AI-based assistance 4

AI plus human intelligence 4

AlphaGo 3

Anaconda 38

reference link 37

Apache Hadoop

URL 355

Arcene Dataset 97

area under the curve (AUC) 68

Artificial General Intelligence (AGI) 452

Artificial Intelligence (AI) 8

artificial masterpieces, Google Arts & Culture

reference link 261

artificial neural networks (ANNs) 11, 254

association 315

attributes 315

automation

versus machine learning 5

averaging 32

B

backpropagation 258, 259

Backpropagation Through Time (BPTT) 420

bagging 32, 140...

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