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Machine Learning For Dummies, by Luca Massaron
Download Machine Learning For Dummies, by 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!
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Product details
Series: For Dummies
Paperback: 432 pages
Publisher: For Dummies; 1 edition (May 31, 2016)
Language: English
ISBN-10: 1119245516
ISBN-13: 978-1119245513
Product Dimensions:
7.2 x 1 x 9.1 inches
Shipping Weight: 1.8 pounds (View shipping rates and policies)
Average Customer Review:
3.5 out of 5 stars
42 customer reviews
Amazon Best Sellers Rank:
#20,808 in Books (See Top 100 in Books)
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
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.
This book is a tough read -- it really should be called 'Machine Learning Programming for Dummies'. It seeks to split its focus between the concepts of machine learning and the associated implementation, but really doesn't do a good job in either. It potentially could be used as a reference tool for various tools, acronyms, jargon, and concepts, but is not a good book to become familiar with the concepts of machine learning and how they compare to 'traditional' deterministic software principles. Additionally, the samples and use cases it presents are not well organized in a simple way, making it hard to learn via example (e.g. here's a business problem, here's a hypothesis related to that problem, here's the data available, now let's see if machine learning can help).
Good companion to Andrew Ng Machine Learning on Coursera and YouTube videos.
Have not completed this one yet. As a newcomer to the subject, it seems like a good place to have started. Most of the examples seem clear and complete. Sometimes I get confused by the wording, but whether that's issues with syntax and style, or just my ignorance, I can't yet be sure. After I start coding and testing some of the learning programs, I'll have a better perspective.
Good book.
Hard to get into.
Damaged pages as on the pic from pages 209-231. It's readable though.
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