Python Machine Learning By Example, Third Edition serves as a comprehensive gateway into the world of machine learning (ML).

With six new chapters, covering topics such as movie recommendation engine development with Naïve Bayes, recognizing faces with support vector machines, 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 decision making, the book has been considerably updated for the latest enterprise requirements.

At the same time, the book provides actionable insights on the key fundamentals of ML with Python programming. Hayden applies his expertise to ...

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