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An Introduction to Machine Learning for Hackers
From Linear Regression to Logistic Regression

spacer Tuesday, September 18, 2012

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6pm - London | 1pm - New York | Wed, Sep 19th at 3am - Sydney | Wed, Sep 19th at 2am - Tokyo | Wed, Sep 19th at 1am - Beijing | 10:30pm - Mumbai

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Presented by: John Myles White

Duration: Approximately 60 minutes.

Cost: Free

We'll introduce programmers to two of the most common tools in the machine learning toolkit: linear regression and logistic regression. We'll show how these two tools let you make a first pass at solving almost any machine learning problem you might face.

About John Myles White

John Myles White is a Ph.D. student in the Princeton Psychology Department, where he studies how humans make decisions both theoretically and experimentally. Outside of academia, John has been heavily involved in the data science movement, which has pushed for an open source software approach to data analysis. He is also the lead maintainer for several popular R packages, including ProjectTemplate and log4r.

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Price: Free

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John's Book:

spacer Machine Learning for Hackers
February 2012
$31.99 USD

 
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