Python 3 for Machine Learning

By: Oswald Campesato

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Paperback | 2 March 2020

At a Glance

Paperback
364 Pages

Dimensions(cm)
22.86 x 17.15 x 1.91

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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

Industry Reviews

Programmers who want to get up to speed in Python 3will appreciate O. Campesato's Python 3 for Machine Learning, a survey of basic Python 3 programmingconcepts, applications, expressions, and machine learning relationships. Thisintroduction is packed with supporting mathematical, programming, andstatistical information and summarizes each chapter's machine learningcomponents, making it an excellent self study guide."-- "Midwest Book Review"

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