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An introduction to ML for Hacklab at the Harvard Innovation Lab

Installation

If you don't have everything working yet (or maybe even if you do, go to http://continuum.io/downloads to get the Anaconda Python distribution. It will make installation a lot easier and you'll be able to edit your code inside the browser!

Install the Natural Language Toolkit:

conda install nltk

Download the base corpus:

import nltk; nltk.download()

Start the IPython notebook:

ipython notebook --matplotlib=inline

Teacher Intro

My name is Brendan Kohler. I'm a VC and co-founder of Hyperplane Venture Capital, a VC firm focused exclusively on companies bringing ML related technologies to market. I'm also co-founder of a new cloud infrastructure company called Sentenai.

twitter: @xnomagichash

email: brendan@hyperplane.vc

TA Intro

With me today is Stephen Diehl, chief architect at Elsen and a well known face in the Python numerical computing community. If you're as fascinated with CS as I am, you'll find his website a treasure trove of cool Python and Haskell lessons.

twitter: @smdiehl

website: http://stephendiehl.com

Hacklab intro

We'll be doing two introductory sets to start with, before everyone can break out into groups to work on their own projects.

Generating random text with Markov Chains

https://github.com/xnomagichash/hacklab-ml/blob/master/Markov%20generated%20text.ipynb

Supervised and Unsupervised learning with sklearn

https://github.com/xnomagichash/hacklab-ml/blob/master/Supervised%20and%20Unsupervised%20ML.ipynb

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