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Machine Learning For Dummies, by John Paul Mueller, Luca Massaron
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Your no-nonsense guide to making sense of machine learning
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.
Covering the entry-level topics needed to get you familiar with the basic concepts of machine learning, this guide quickly helps you make sense of the programming languages and tools you need to turn machine learning-based tasks into a reality. Whether you're maddened by the math behind machine learning, apprehensive about AI, perplexed by preprocessing data—or anything in between—this guide makes it easier to understand and implement machine learning seamlessly.
- Grasp how day-to-day activities are powered by machine learning
- Learn to 'speak' certain languages, such as Python and R, to teach machines to perform pattern-oriented tasks and data analysis
- Learn to code in R using R Studio
- Find out how to code in Python using Anaconda
Dive into this complete beginner's guide so you are armed with all you need to know about machine learning!
- Sales Rank: #31644 in Books
- Published on: 2016-05-31
- Original language: English
- Number of items: 1
- Dimensions: 9.30" h x .90" w x 7.40" l, .0 pounds
- Binding: Paperback
- 432 pages
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 the Author
John Paul Mueller is a prolific freelance author and technical editor. He's covered everything from networking and home security to database management and heads-down programming.
Luca Massaron is a data scientist who specializes in organizing and interpreting big data, turning it into smart data with data mining and machine learning techniques.
Most helpful customer reviews
1 of 1 people found the following review helpful.
This book is not for dummies
By Mary Echternacht
This is a very good place to begin a journey into the very interesting and more and more important topic of this era, examples are showing up all around us, we are using this technology to aid us in our performance, but do not let the title fool you, as you well know, you will be confronted with some very powerful and complex thinking, but again as the title implies, you will walk away with a good comprehension of this ever so more important field
14 of 16 people found the following review helpful.
Waste of money
By CherylY1
This book requires that you are (or become) familiar with both R and Python languages. The book is poorly organized and many results are stated rather than shown. If you are interested in an introduction to machine learning, take the FREE course given by Andrew Ng from Stanford (one of the world's experts) on Coursera. By the third week, you will be far ahead of the content in this book.
1 of 1 people found the following review helpful.
Good book, but as it progressed into the meatier ...
By jbrownjf
Good book, but as it progressed into the meatier sections of ML, I thought they moved away from the "for dummies" style of trying to explain things in layman's term and using examples that are simple and help you understand the concepts and intuitions of the material.
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