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 fundamentalconcepts of machine learning. The sixth chapter is devoted to machine learningclassifiers, 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.
Python 3 for Machine Learning
Date: February 7th, 2020
Language: English
Features:
• Provides the reader withbasic Python 3 programming concepts related to machine learning
• Includes separate appendices forregular expressions, Keras, and TensorFlow 2
• Provides the reader withbasic Python 3 programming concepts related to machine learning
• Includes separate appendices forregular expressions, Keras, and TensorFlow 2
19,000 Ks
Book Details
color | Black & White |
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size | A4 |
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