Название: Python 3 for Machine Learning Автор: Oswald Campesato
Издательство: Mercury Learning & Information
Год: 2020
Страниц: 363
Язык: английский
Формат: pdf (true)
Размер: 10.1 MB
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.
Some programmers learn well from prose, others learn well from sample code (and lots of it), which means that there's no single style that can be used for everyone. Moreover, some programmers want to run the code first, see what it does, and then return to the code to delve into the details (and others use the opposite approach). Consequently, there are various types of code samples in this book: some are short, some are long, and other code samples "build" from earlier code samples.
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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