Machine Learning in Action

Peter Harrington

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Sprache: Englisch

Verlag: Manning Publications, 2012

1617290181 / 9781617290183

Serie: Buch 64 von 182 - In Action

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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. What's Inside A no-nonsense introduction Examples showing common ML tasks Everyday data analysis Implementing classic algorithms like Apriori and Adaboos Table of ContentsPART 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.

Bestandsnummer des Verkäufers CIN1617290181G

Titel
Machine Learning in Action
Autor
Peter Harrington
Verlag
Manning Publications
Veröffentlichungsjahr
2012
Zustand
Good
Einband
Paperback
Sprache
Englisch
ISBN-10
1617290181
ISBN-13
9781617290183
Serie
Buch 64 von 182: In Action

World of Books Inc

Montgomery, IL, USA

Verkäufer/-in mit 2 Sternen

AbeBooks-Verkäufer/-in seit 23. März 2026

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Artikel4 bis 12 Werktage3 bis 6 Werktage
Erster ArtikelEUR 0,00EUR 9,45
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