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Mathematics And Programming For Machine Learning With R: From The Ground Up
US $69.53
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Estimated between Thu, Jun 27 and Mon, Jul 1 to 43230
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eBay item number:186358989228
Item specifics
- Condition
- Book Title
- Mathematics And Programming For Machine Learning With R: Fro...
- ISBN
- 9780367507855
- Subject Area
- Computers
- Publication Name
- Mathematics and Programming for Machine Learning with R : from the Ground Up
- Publisher
- Taylor & Francis Group
- Item Length
- 10 in
- Subject
- Programming / Algorithms, Intelligence (Ai) & Semantics, Programming / Object Oriented
- Publication Year
- 2020
- Type
- Textbook
- Format
- Trade Paperback
- Language
- English
- Item Weight
- 24.1 Oz
- Item Width
- 7 in
- Number of Pages
- 408 Pages
About this product
Product Information
Based on the author's experience teaching data science for more than 10 years, Mathematics and R Programming for Machine Learning reveals how machine learning algorithms do their magic and explains how logic can be implemented in code.
Product Identifiers
Publisher
Taylor & Francis Group
ISBN-10
0367507854
ISBN-13
9780367507855
eBay Product ID (ePID)
8050076294
Product Key Features
Number of Pages
408 Pages
Language
English
Publication Name
Mathematics and Programming for Machine Learning with R : from the Ground Up
Publication Year
2020
Subject
Programming / Algorithms, Intelligence (Ai) & Semantics, Programming / Object Oriented
Type
Textbook
Subject Area
Computers
Format
Trade Paperback
Dimensions
Item Weight
24.1 Oz
Item Length
10 in
Item Width
7 in
Additional Product Features
Target Audience
College Audience
Illustrated
Yes
Table of Content
Chapter 1. Functions Tutorial. Chapter 2. Logic and R. Chapter 3. Sets with R: Building the Tools. Chapter 4. Probability. Chapter 5. Naïve Rule. Chapter 6. Complete Bayes. Chapter 7. Naïve Bayes Classifier. Chapter 8. Stored Model for Naive Bayes Classifier. Chapter 9. Review of Mathematics for Neural Networks. Chapter 10. Calculus. Chapter 11. Neural Networks - Feed Forward Process and Back Propagation Process. Chapter 12. Programming a Neural Network using OOP in R. Chapter 13. Adding in a Bias Term. Chapter 14. Modular Version of Neural Networks for Deep Learning. Chapter 15. Deep Learning with Convolutional Neural Networks. Chapter 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:186358989228
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| Shipping and handling | Each additional item | To | Service | Delivery*See Delivery notes |
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