Python 3 for Machine Learning

Paperback
March 2020
9781683924951
More details
  • Publisher
    Mercury Learning & Information
  • Published
    2nd March
  • 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 & Information
  • Published
    7th February
  • ISBN 9781683924937
  • Language English
  • Pages 364 pp.
  • Size 7" x 9"
$149.95
E-Book
February 2020
9781683924944
More details
  • Publisher
    Mercury Learning & Information
  • Published
    7th February
  • ISBN 9781683924944
  • Language English
  • Pages 364 pp.
  • Size 7" x 9"
$41.95

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

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 (San Francisco, CA) specializes in Deep Learning, Data Cleaning, Java, Android, and TensorFlow. He is the author/co-author of over twenty-five books including TensorFlow Pocket Primer; Artificial Intelligence, Machine Learning, and Deep LearningAndroid Pocket Primer, Angular4 Pocket Primer, and the Python Pocket Primer (Mercury Learning).

computer science, programming