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, Num Py, 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 Tensor Flow 2.
Features:
- Provides the reader with basic Python 3 programming concepts related to machine learning
- Includes separate appendices for regular expressions, Keras, and Tensor Flow 2
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Formato PDF ● Páginas 364 ● ISBN 9781683924937 ● Editorial Mercury Learning & Information ● Publicado 2020 ● Descargable 3 veces ● Divisa EUR ● ID 8126254 ● Protección de copia Adobe DRM
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