November 2014
Beginner to intermediate
408 pages
8h 44m
English
Content preview from Machine Learning: Hands-On for Developers and Technical Professionals
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Appendix DFurther Reading
Machine learning is only part of the story; it's the application of knowing what to use to get the insight you need. The domain of data science combines several disciplines that cover programming, math, domain knowledge, and visualization.
It's very rare for one book to cover it all. To that end, I've included some further reading that will be of help to you on your machine learning and data journey. (I know what you're thinking, and yes, I have bought and read all of these books.)
Machine Learning
The machine learning arena is a huge domain and the majority of the books written are big, in-depth, heavy affairs that can take time to read, digest, and appreciate. Two stand out:
Data Mining – Practical Machine Learning Tools and Techniques by Ian H. Witten, Eibe Frank, and Mark A. Hall (Morgan Kaufmann, 2011, ISBN 9780123748560).
Collective Intelligence in Action by Satnam Alag (Manning, 2008, ISBN 9781933988313).
Statistics
More and more emphasis is being put on statistical knowledge and its application. Sometimes it feels hard to get into, especially for software developers, so these two titles will help you along:
Naked Statistics: Stripping the Dread from the Data by Charles Wheelan (Norton, 2013, ISBN 9780393071955).
Keeping Up with the Quants: Your Guide to Understanding and Using Analytics by Thomas H. Davenport and Jinho Kim (Harvard Business Review Press, 2013, ISBN 9781422187258).
Big Data and Data Science
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O’Reilly covers everything we've got, with content to help us build a world-class technology community, upgrade the capabilities and competencies of our teams, and improve overall team performance as well as their engagement.Julian F.
I wanted to learn C and C++, but it didn't click for me until I picked up an O'Reilly book. When I went on the O’Reilly platform, I was astonished to find all the books there, plus live events and sandboxes so you could play around with the technology.Addison B.
I’ve been on the O’Reilly platform for more than eight years. I use a couple of learning platforms, but I'm on O'Reilly more than anybody else. When you're there, you start learning. I'm never disappointed.Amir M.
I'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.