Machine Learning for Hackers - eazydoc.com

Category: Technical


Posted on 2014-01-03. By anonymous.

Description

Copy the following link to download:
http://www.eazydoc.com/4fq



2012 | English | PDF | 23.96 Mb | 322 Pages


If you¡¯re an experienced programmer interested in crunching data, this book will get you started with machine learning¡ªa 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

eazydoc.com

upload, share and manage your files for free.


Sponsored High Speed Downloads
6736 dl's @ 3316 KB/s
Download Now [Full Version]
6429 dl's @ 3826 KB/s
Download Link 1 - Fast Download
6051 dl's @ 2420 KB/s
Download Mirror - Direct Download



Search More...
Machine Learning for Hackers - eazydoc.com

Search free ebooks in ebookee.com!


Links
Download this book

Download links for "Machine Learning for Hackers - eazydoc.com":

External Download Link1:
Donwload 1449303716Hackers.pdf from eazydoc.com
http://www.eazydoc.com/4fq


Related Books


Comments

No comments for "Machine Learning for Hackers - eazydoc.com".


    Add Your Comments
    1. Download links and password may be in the description section, read description carefully!
    2. Do a search to find mirrors if no download links or dead links.
    Back to Top