Fundamentals of Data Science Trilogy: Experiment-Model-Learn

By Jared M Maruskin

Book Overview

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

basic statistics, hypothesis testing, and experimentationvalidation methodologylinear and logistic regression; generalized linear modelscausalitytime series analysisBayesian statisticsclusteringdecision trees, random forests, and boosted forestsartificial neural networks and deep learningreinforcement 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.

• Format: Paperback
• Language: English
• ISBN: 1941043011
• ISBN13: 9781941043011
• Release Date: April 2022
• Publisher: Cayenne Canyon Press
• Length: 892 Pages
• Weight: 2.70 lbs.
• Dimensions: 1.8" x 6.1" x 9.2"