Machine Learning Algorithms for Data Scientists: An Overview - Info and Reading Options
By Vinaitheerthan Renganathan
"Machine Learning Algorithms for Data Scientists: An Overview" was published by Vinaitheerthan Renganathan in 2021 and it has 102 pages.
“Machine Learning Algorithms for Data Scientists: An Overview” Metadata:
- Title: ➤ Machine Learning Algorithms for Data Scientists: An Overview
- Author: Vinaitheerthan Renganathan
- Number of Pages: 102
- Publisher: Vinaitheerthan Renganathan
- Publish Date: 2021
“Machine Learning Algorithms for Data Scientists: An Overview” Subjects and Themes:
- Subjects: ➤ Machine Learning - Artificial Neural Network - AI - Naive Bayes - Support Vector Machine - Decision Tree
Edition Specifications:
- Format: Paperback
Edition Identifiers:
- The Open Library ID: OL35282812M - OL26140250W
- ISBN-13: 9789354737695
- All ISBNs: 9789354737695
AI-generated Review of “Machine Learning Algorithms for Data Scientists: An Overview”:
"Machine Learning Algorithms for Data Scientists: An Overview" Table Of Contents:
- 1- Chapter 1: Introduction
- 2- Chapter 2: R Software
- 3- Chapter 3: Data Preprocessing
- 4- Chapter 3: Decision Tree Algorithm
- 5- Chapter 4: Random Forest Algorithm
- 6- Chapter 5: Support Vector Machine Algorithm
- 7- Chapter 6: Naïve Bayes Algorithm
- 8- Chapter 7: Artificial Neural Network Algorithm
- 9- Chapter 8: Clustering Algorithm
- 10- Chapter 9: Text mining algorithms
- 11- Chapter 10: Image processing and classification
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