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Mathematics And Programming For Machine Learning With R: From The Ground Up
US $135.79
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eBay item number:386879204402
Item specifics
- Condition
- Book Title
- Mathematics And Programming For Machine Learning With R: Fro...
- Item Weight
- 2.12 lbs
- ISBN
- 9780367561949
- Publication Year
- 2020
- Type
- Textbook
- Format
- Hardcover
- Language
- English
- Subject Area
- Computers
- Publication Name
- Mathematics and R Programming for Machine Learning
- Publisher
- Taylor & Francis Group
- Item Length
- 10 in
- Subject
- Programming / Algorithms, Intelligence (Ai) & Semantics, Programming / Object Oriented
- Item Width
- 7 in
- Number of Pages
- 296 Pages
About this product
Product Information
Based on the author's experience in teaching data science for more than 10 years, Mathematics and Programming for Machine Learning with R: From the Ground Up reveals how machine learning algorithms do their magic and explains how these algorithms can be implemented in code. It is designed to provide readers with an understanding of the reasoning behind machine learning algorithms as well as how to program them. Written for novice programmers, the book progresses step-by-step, providing the coding skills needed to implement machine learning algorithms in R. The book begins with simple implementations and fundamental concepts of logic, sets, and probability before moving to the coverage of powerful deep learning algorithms. The first eight chapters deal with probability-based machine learning algorithms, and the last eight chapters deal with machine learning based on artificial neural networks. The first half of the book does not require mathematical sophistication, although familiarity with probability and statistics would be helpful. The second half assumes the reader is familiar with at least one semester of calculus. The text guides novice R programmers through algorithms and their application and along the way; the reader gains programming confidence in tackling advanced R programming challenges. Highlights of the book include: More than 400 exercises A strong emphasis on improving programming skills and guiding beginners to the implementation of full-fledged algorithms Coverage of fundamental computer and mathematical concepts including logic, sets, and probability In-depth explanations of machine learning algorithms
Product Identifiers
Publisher
Taylor & Francis Group
ISBN-10
0367561948
ISBN-13
9780367561949
eBay Product ID (ePID)
5050074555
Product Key Features
Number of Pages
296 Pages
Language
English
Publication Name
Mathematics and R Programming for Machine Learning
Publication Year
2020
Subject
Programming / Algorithms, Intelligence (Ai) & Semantics, Programming / Object Oriented
Type
Textbook
Subject Area
Computers
Format
Hardcover
Dimensions
Item Length
10 in
Item Width
7 in
Additional Product Features
Dewey Edition
23
Target Audience
College Audience
Illustrated
Yes
Dewey Decimal
006.31
Table of Content
1. Functions Tutorial 2. Logic and R 3. Sets with R: Building the tools 4. Probability 5. Naïve Rule 6. Complete Bayes 7. Naive Bayes Classifier 8. Stored Model for Naive Bayes Classifier 9. Review of Mathematics for Neural Networks 10. Calculus 11. Neural Networks -Feed Forward Process and Back Propagation Process 12. Programming a Neural Network using OOP in R 13. Adding in a Bias Term 14. Modular Version of Neural Networks for Deep Learning 15. Deep Learning with Convolutional Neural Networks 16. R Packages for Neural Networks, Deep Learning, and Naïve Bayes
Copyright Date
2021
Item description from the seller
Seller assumes all responsibility for this listing.
eBay item number:386879204402
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USA, United States
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| Shipping and handling | Each additional item | To | Service | Delivery*See Delivery notes |
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