No detailed description available for "Python 3 for Machine Learning".
About the Author: Campesato Oswald: Oswald Campesato (San Francisco, CA) is an adjunct instructor at UC-Santa Clara and specializes in Deep Learning, Java, Android, TensorFlow, and NLP.
364 Pages
Computers + Internet,
Description
About the Book
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 l
Book Synopsis
No detailed description available for "Python 3 for Machine Learning".
Review Quotes
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."
About the Author
Campesato Oswald:
Oswald Campesato (San Francisco, CA) is an adjunct instructor at UC-Santa Clara and specializes in Deep Learning, Java, Android, TensorFlow, and NLP. He is the author/co-author of over twenty-five books including TensorFlow 2 Pocket Primer, Python 3 for Machine Learning, and the NLP Using R Pocket Primer (all Mercury Learning and Information).
Dimensions (Overall): 8.9 Inches (H) x 6.9 Inches (W) x .9 Inches (D)
Weight: 1.15 Pounds
Suggested Age: 22 Years and Up
Number of Pages: 364
Genre: Computers + Internet
Publisher: Mercury Learning and Information
Theme: Python
Format: Paperback
Author: Oswald Campesato
Language: English
Street Date: March 16, 2020
TCIN: 1011989968
UPC: 9781683924951
Item Number (DPCI): 247-18-9079
Origin: Made in the USA or Imported
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Shipping details
Estimated ship dimensions: 0.9 inches length x 6.9 inches width x 8.9 inches height
Estimated ship weight: 1.15 pounds
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