Python 3 for Machine Learning
Book Details
Format
Paperback / Softback
ISBN-10
1683924959
ISBN-13
9781683924951
Publisher
Mercury Learning & Information
Imprint
Mercury Learning & Information
Country of Manufacture
US
Country of Publication
GB
Publication Date
Mar 16th, 2020
Print length
364 Pages
Weight
563 grams
Product Classification:
Web programmingMachine learning
Ksh 8,300.00
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0 in stock
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Quality
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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
Programmers who want to get up to speed in Python 3 will appreciate O. Campesato''s Python 3 for Machine Learning, a survey of basic Python 3 programming concepts, applications, expressions, and machine learning relationships. This introduction is packed with supporting mathematical, programming, and statistical information and summarizes each chapter''s machine learning components, making it an excellent self study guide."
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