Machine Learning for Hackers: Case Studies and Algorithms to Get You Started

$49.99 $44.82

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

Quantity

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

Frequently Bought Together

  • Machine Learning for Hackers
    +
  • Programming Collective Intelligence: Building Smart Web 2.0 Applications
    +
  • Python for Data Analysis: Data Wrangling with Pandas, NumPy, and IPython
    +
  • Machine Learning in Action
  • Price for all: $96.78
Author

Drew Conway, John Myles White

Binding

Paperback

EAN

9781449303716

EANList

9781449303716

Edition

1st

ISBN

1449303714

IsEligibleForTradeIn

1

ItemDimensions

75, hundredths-inches, 920, hundredths-inches, 114, hundredths-pounds, 706, hundredths-inches

Label

O’Reilly

Languages

English, Unknown, English, Original Language, English, Published

Manufacturer

O’Reilly

NumberOfItems

1

NumberOfPages

324

PackageQuantity

1

ProductGroup

Book

PublicationDate

2012-02-25

Publisher

O’Reilly

ReleaseDate

2012-02-25

Studio

O’Reilly

TradeInValue

1055, USD, $10.55