Machine Learning for Hackers

Ebook

If you’re an experienced programmer interested in crunching data, this book will get you started with machine learning—a toolkit of algorithms that enables computers to train themselves to automate useful tasks. Authors Drew Conway and John Myles White help you understand machine learning and statistics tools through a series of hands-on case studies, instead of a traditional math-heavy presentation.

Each chapter focuses on a specific problem in machine learning, such as classification, prediction, optimization, and recommendation. Using the R programming language, you’ll learn how to analyze sample datasets and write simple machine learning algorithms. Machine Learning for Hackers is ideal for programmers from any background, including business, government, and academic research.

  • Develop a naïve Bayesian classifier to determine if an email is spam, based only on its text
  • Use linear regression to predict the number of page views for the top 1,000 websites
  • Learn optimization techniques by attempting to break a simple letter cipher
  • Compare and contrast U.S. Senators statistically, based on their voting records
  • Build a “whom to follow” recommendation system from Twitter data
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Machine Learning For Hackers


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Author by : Drew Conway
Languange Used : en
Release Date : 2012-02-15
Publisher by : "O'Reilly Media, Inc."

Presents algorithms that enable computers to train themselves to automate tasks, focusing on specific problems

Machine Learning For Hackers


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Author by : Drew Conway
Languange Used : en
Release Date : 2012-02-13
Publisher by : "O'Reilly Media, Inc."

If you’re an experienced programmer interested in crunching data, this book will get you started with machin

Programming Collective Intelligence


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Author by : Toby Segaran
Languange Used : en
Release Date : 2007-08-16
Publisher by : "O'Reilly Media, Inc."

Want to tap the power behind search rankings, product recommendations, social bookmarking, and online matchmak

Bayesian Methods For Hackers


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Author by : Cameron Davidson-Pilon
Languange Used : en
Release Date : 2015-09-30
Publisher by : Addison-Wesley Professional

Master Bayesian Inference through Practical Examples and Computation–Without Advanced Mathematical Analysis

Sequential Machine Learning


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Author by : Ben Gimpert
Languange Used : en
Release Date : 2015-03-25
Publisher by : O'Reilly Media

Sequential Machine Learning demonstrates the concepts of machine learning with big data modeling examples for

Machine Learning In Python


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Author by : Michael Bowles
Languange Used : en
Release Date : 2015-03-24
Publisher by : John Wiley & Sons

Learn a simpler and more effective way to analyze data and predict outcomes with Python Machine Learning in Py

Mastering Machine Learning With Scikit Learn


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Author by : Gavin Hackeling
Languange Used : en
Release Date : 2014-10-29
Publisher by : Packt Publishing Ltd

If you are a software developer who wants to learn how machine learning models work and how to apply them effe

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