Synopsis
New book
"synopsis" may belong to another edition of this title.
Review
"Comprehensive and not just for dummies." (MagPi, January 2017)
From the Back Cover
- Learn how machine learning algorithms are invaluable
- Implement machine learning in Python and R
- Use machine learning to accomplish practical tasks
Machine learning made easy!
It may sound a bit intimidating, but machine learning is an exciting new way to teach your computer to perform all sorts of important and useful tasks. This book is the easy way to get up to speed. It explains how to get started, provides detailed discussions of how the underlying algorithms work, uses languages such as Python and R to make machine learning possible, specifies how to do practical things using common algorithms, and more!
Inside
- The real story about AI
- R and Python coding
- The role of statistics
- Managing big data
- Demystifying the math
- Using linear models
- What neural networks do
- How to work with images
- More tools you can use
"About this title" may belong to another edition of this title.
Other Popular Editions of the Same Title
Search results for Machine Learning (in Python and R) for Dummies
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Machine Learning (in Python and R) For Dummies
Seller: Vedams eBooks (P) Ltd, New Delhi, India
Seller rating 4 out of 5 stars
Soft cover. Condition: New. Machine learning can be a mind-boggling concept for the masses, but those who are in the trenches of computer programming know just how invaluable it is. Without machine learning, fraud detection, web search results, real-time ads on web pages, credit scoring, automation and email spam filtering wouldn't be possible and this is only showcasing just a few of its capabilities. Written by two data science experts, Machine Learning For Dummies offers a much-needed entry point for anyone looking to use machine learning to accomplish practical tasks. Seller Inventory # 134827
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Machine Learning (in Python and R) For Dummies
Seller: Majestic Books, Hounslow, United Kingdom
Seller rating 4 out of 5 stars
Condition: New. pp. 432. Seller Inventory # 371902770