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Machine Learning in Action
By: Peter Harrington
Publisher: Manning Publications
Pub. Date: April 28, 2012
Print ISBN-10: 1-61729-018-1
Print ISBN-13: 978-1-61729-018-3
Pages in Print Edition: 384
Subscriber Rating:
[4 Ratings] Subscriber Reviews
Overview
Summary
Machine Learning in Action is a unique book that blends the foundational theories of machine learning with the practical realities of building tools for everyday data analysis. You'll use the flexible Python programming language to build programs that implement algorithms for data classification, forecasting, recommendations, and higher-level features like summarization and simplification.
About this Book
A machine is said to learn when its performance improves with experience. Learning requires algorithms and programs that capture data and ferret out the interesting or useful patterns. Once the specialized domain of analysts and mathematicians, machine learning is becoming a skill needed by many.
Machine Learning in Action is a clearly written tutorial for developers. It avoids academic language and takes you straight to the techniques you’ll use in your day-to-day work. Many (Python) examples present the core algorithms of statistical data processing, data analysis, and data visualization in code you can reuse. You’ll understand the concepts and how they fit in with tactical tasks like classification, forecasting, recommendations, and higher-level features like summarization and simplification.
Readers need no prior experience with machine learning or statistical processing. Familiarity with Python is helpful.
What’s Inside
A no-nonsense introduction
Examples showing common ML tasks
Everyday data analysis
Implementing classic algorithms like Apriori and Adaboos
About the Author
Peter Harrington is a professional developer and data scientist. He holds five US patents and his work has been published in numerous academic journals.
Subscriber Reviews
Average Rating: 
Based on 4 Ratings
"Code examples need major improvements" - by Virshu on 17-JUN-2012
Reviewer Rating:
I am going to assume that the author is an expert in Machine learning (I am learning, and I am not qualified to judge him on that). I also find the book easy to read and understand. That's good.
However, the examples are buggy and sloppy. For some reason authors feel obliged to stress how easy it is to program in Python. That self-serving statement along with 3 bugs in 15 lines of code makes you really wonder if the author wants to convince the reader - or himself!
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