This book is designed to provide the reader with basic Python 3 programming concepts related to machine learning. The first four chapters provide a fast-paced introduction to Python 3, NumPy, and Pandas. The fifth chapter introduces the fundamental concepts of machine learning. The sixth chapter is devoted to machine learning classifiers, such as logistic regression, k-NN, decision trees, random forests, and SVMs. The final chapter includes material on NLP and RL. Keras-based code samples are included to supplement the theoretical discussion. The book also contains separate appendices for regular expressions, Keras, and TensorFlow 2.

Features:

• Provides the reader with basic Python 3 programming concepts related to machine learning

• Includes separate appendices for regular expressions, Keras, and TensorFlow 2

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• 特点。
• 为读者提供了与机器学习相关的Python 3基本编程概念
• 包括关于正则表达式、Keras和TensorFlow 2的单独附录。