Fundamentals of Data Science Trilogy: Experiment-Model-Learn - Softcover

Maruskin, Jared M

 
9781941043011: Fundamentals of Data Science Trilogy: Experiment-Model-Learn
Softcover
ISBN 10: 1941043011 ISBN 13: 9781941043011
Publisher: Cayenne Canyon Press, 2022

Synopsis

In this series, we cover statistical experimentation, modeling, and machine learning, focusing on:

  • basic statistics, hypothesis testing, and experimentation
  • validation methodology
  • linear and logistic regression; generalized linear models
  • causality
  • time series analysis
  • Bayesian statistics
  • clustering
  • decision trees, random forests, and boosted forests
  • artificial neural networks and deep learning
  • reinforcement learning

Our focus is on mathematical derivations, algorithmic development, and programming. We use Python throughout the text to support our theory. All machine learning techniques are coded from scratch using Python. 



"synopsis" may belong to another edition of this title.

Publisher
Cayenne Canyon Press
Publication date
2022
Language
English
ISBN 10 
1941043011
ISBN 13 
9781941043011
Binding
Paperback
Number of pages
892

Other Popular Editions of the Same Title

9781941043035: Fundamentals of Data Science Trilogy: Experiment-Model-Learn

Featured Edition

ISBN 10:  1941043038 ISBN 13:  9781941043035
Publisher: Cayenne Canyon Press, 2022
Hardcover