Title: Fundamentals of Data Science Part III: Machine Learning (Paperback or Softback)
Publisher: Cayenne Canyon Press 4/29/2022
Publication Date: 2022
Language: English
ISBN 10: 1941043135
ISBN 13: 9781941043134
Binding: Paperback or Softback
Condition: New
Weight: 0.98 pounds
Book Type: Book

About this title

Synopsis

In Part III of this series, we cover the fundamentals of machine learning, focusing on:

validation methodology (reprint)
nearest neighbor, k-means, support vector machines, principal component analysis
tree-based methods: decision trees, bagging, random forest, boosting, XGBoost
artificial neural networks and deep learning
reinforcement learning

The focus is on algorithmic development and programming. We code each technique from scratch in Python, using an object-oriented approach.

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

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