Statistics for Machine Learning
Techniques for exploring supervised, unsupervised, and reinforcement learning models with Python and R
Publisher:Packt Publishing Limited
By: Pratap Dangeti
Paid access
|Aug 2017
Table of Contents
- Journey from Statistics to Machine Learning
- Parallelism of Statistics and Machine Learning
- Logistic Regression vs. Random Forest
- Tree-Based Machine Learning models
- K-Nearest Neighbors & Naïve Bayes
- Support Vector Machines & Neural Networks
- Recommendation Engines
- Unsupervised Learning
- Reinforcement Learning
PDF ISBN: 978-1-78829-122-4
Publisher: Packt Publishing Limited
Copyright owner: © 2017 Packt Publishing Limited
Publication date: 2017
Language: English
Pages: 442
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