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Python 3 for Machine Learning
Paperback
March 2020
9781683924951
More details
- Publisher
Mercury Learning and Information - Published
2nd March 2020 - ISBN 9781683924951
- Language English
- Pages 364 pp.
- Size 7" x 9"
$51.95
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February 2020
9781683924937
More details
- Publisher
Mercury Learning and Information - Published
7th February 2020 - ISBN 9781683924937
- Language English
- Pages 364 pp.
- Size 7" x 9"
$149.95
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February 2020
9781683924944
More details
- Publisher
Mercury Learning and Information - Published
7th February 2020 - ISBN 9781683924944
- Language English
- Pages 364 pp.
- Size 7" x 9"
$51.95
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."
- Midwest Book Review
1: Introduction to Python 3
2: Conditional Logic, Loops, and Functions
3: Python Collections
4: Introduction to NumPy and Pandas
5: Introduction to Machine Learning
6: Classifiers in Machine Learning
7: Natural Language Processing and Reinforcement Learning
Appendices
A: Introduction to Regular Expressions
B: Introduction to Keras
C: Introduction to TensorFlow 2
Index
Oswald Campesato
Oswald Campesato specializes in Deep Learning, Python, Data Science, and generative AI. He is the author/co-author of over forty-five books including Google Gemini for Python, Large Language Models, and GPT-4 for Developers (all Mercury Learning).
computer science, programming