Fundamentals of Data Science Trilogy: Experiment-Model-Learn - Couverture rigide

Maruskin, Jared M

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

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.



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Autres éditions populaires du même titre

9781941043011: Fundamentals of Data Science Trilogy: Experiment-Model-Learn

Edition présentée

ISBN 10 :  1941043011 ISBN 13 :  9781941043011
Editeur : Cayenne Canyon Press, 2022
Couverture souple