Python Machine Learning By Example: Build intelligent systems using Python, TensorFlow 2, PyTorch, and scikit-learn, 3rd Edition

This comprehensive guide to machine learning with Python is an absolute must-have for anyone looking to gain a broad understanding of the latest developments in the field.

With six new chapters covering cutting-edge topics such as movie recommendation engine development, face recognition, and reinforcement learning, this book provides actionable insights into the key fundamentals of machine learning with Python programming.

Realistic examples walk you through the implementation of algorithms from scratch and with libraries, giving you a deep 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 book, you will have gained a broad picture of the ML ecosystem and be well-equipped to tackle any challenge that comes your way.

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