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|
 An Elementary Introduction to Statistical Learning Theory
A thought-provoking look at statistical learning theory and its role in understanding human learning and inductive reasoning
A joint endeavor from leading researchers in the fields of philosophy and electrical engineering, An Elementary Introduction to Statistical Learning Theory is a comprehensive and accessible... |  |  Data Science from Scratch: First Principles with Python
Data science libraries, frameworks, modules, and toolkits are great for doing data science, but they’re also a good way to dive into the discipline without actually understanding data science. In this book, you’ll learn how many of the most fundamental data science tools and algorithms work by implementing them from... |  |  Machine Learning with R - Second Edition
Key Features
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Harness the power of R for statistical computing and data science
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Explore, forecast, and classify data with R
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Use R to apply common machine learning algorithms to real-world scenarios
Book Description
Machine learning, at its core, is concerned... |
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 Mastering SQL Server 2014 Data Mining
Master selecting, applying, and deploying data mining models to build powerful predictive analysis frameworks
About This Book
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Understand the different phases of data mining, along with the tools used at each stage
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Explore the different data mining algorithms in depth
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Become...
|  |  Learning Apache Mahout Classification
Build and personalize your own classifiers using Apache Mahout
About This Book
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Explore the different types of classification algorithms available in Apache Mahout
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Create and evaluate your own ready-to-use classification models using real world datasets
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A practical guide to...
|  |  Learning scikit-learn: Machine Learning in Python
Incorporating machine learning in your applications is becoming essential. As a programmer this book is the ideal introduction to scikit-learn for your Python environment, taking your skills to a whole new level.
Overview
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Use Python and scikit-learn to create intelligent applications
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Apply...
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