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Machine Learning in Action by Peter Harrington (2012, Trade Paperback)

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Summary Machine Learning in Action is 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 the 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 interestingor 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. Purchase of the print book comes with an offer of a free PDF, ePub, and Kindle eBook from Manning. Also available is all code from the book. What's Inside A no-nonsense introduction Examples showing common ML tasks Everyday data analysis Implementing classic algorithms like Apriori and Adaboos Table of Contents PART 1 CLASSIFICATION Machine learning basics Classifying with k-Nearest Neighbors Splitting datasets one feature at a time: decision trees Classifying with probability theory: naïve Bayes Logistic regression Support vector machines Improving classification with the AdaBoost meta algorithm PART 2 FORECASTING NUMERIC VALUES WITH REGRESSION Predicting numeric values: regression Tree-based regression PART 3 UNSUPERVISED LEARNING Grouping unlabeled items using k-means clustering Association analysis with the Apriori algorithm Efficiently finding frequent itemsets with FP-growth PART 4 ADDITIONAL TOOLS Using principal component analysis to simplify data Simplifying data with the singular value decomposition Big data and MapReduce

Product Identifiers

Publisher
Manning Publications Co. LLC
ISBN-10
1617290181
ISBN-13
9781617290183
eBay Product ID (ePID)
109486427

Product Key Features

Author
Peter Harrington
Publication Name
Machine Learning in Action
Format
Trade Paperback
Language
English
Publication Year
2012
Type
Textbook
Number of Pages
384 Pages

Dimensions

Item Length
9.2in
Item Height
0.8in
Item Width
7.4in
Item Weight
23 Oz

Additional Product Features

Lc Classification Number
Q325.5
Copyright Date
2011
Target Audience
Scholarly & Professional
Topic
Computer Science, Intelligence (Ai) & Semantics, Data Processing
Lccn
2011-277578
Dewey Decimal
006.31
Dewey Edition
23
Illustrated
Yes
Genre
Computers

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Machine Learning in Action by Peter Harrington (2012, Trade Paperback)

About this product

Product Information

Product Identifiers

Product Key Features

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Additional Product Features

All listings for this product

item 1 Machine Learning in Action - Paperback By Harrington, Peter - GOOD

item 2 Machine Learning in Action

item 3 Machine Learning in Action

item 4 Machine Learning in Action, Peter Harrington

item 5 Machine Learning in Action

item 6 Machine Learning in Action, Harrington, Peter, Very Good Book

item 7 Machine Learning in Action by Peter Harrington (2012, Trade Paperback)

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