This book is designed to provide the reader with basic Python3 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 Python3 programming concepts related to machine learning
- Includes separate appendices for regular expressions, Keras, and TensorFlow 2
- ISBN10 1683924940
- ISBN13 9781683924944
- Publish Date 15 February 2020
- Publish Status Unknown
- Publish Country US
- Imprint Mercury Learning & Information
- Format eBook
- Pages 200
- Language English