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
|Jun 2024
This title is not yet available for download
This title is not yet available for download
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: 2024
Language: English
Pages: 442
Related subjects:
BISAC subjects:
COM077000,
COM062000,
COM018000
Thema subjects:
UFM,
UNA,
UYZM,
UNC,
GPH
