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mm- committed Feb 24, 2015
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4 changes: 2 additions & 2 deletions README.md
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Expand Up @@ -117,7 +117,7 @@ _OSDSM Specialization: [Web Scraping & Crawling](https://github.com/datasciencem

* **Probabilistic Modeling**
* Probabilistic Programming and Bayesian Methods for Hackers [Github / Tutorials](http://bit.ly/ipnb-probabilisticprogramming)
* Probabalistic Graphical Models [Stanford / Coursera](http://bit.ly/stanford-pgm)
* Probabilistic Graphical Models [Stanford / Coursera](http://bit.ly/stanford-pgm)

* **Deep Learning (Neural Networks)**
* Neural Networks [Andrej Karpathy / Python Walkthrough](http://karpathy.github.io/neuralnets/)
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* **Natural Language Processing & Understanding**
* [NLTK](http://bit.ly/py-nltk) - Natural Language Toolkit
* [Gensim](http://bit.ly/py-gensim) - Python library for topic modelling, document indexing and similarity retrieval with large corpora. Target audience is the natural language processing (NLP) and information retrieval (IR) community.
* [Gensim](http://bit.ly/py-gensim) - Python library for topic modeling, document indexing and similarity retrieval with large corpora. Target audience is the natural language processing (NLP) and information retrieval (IR) community.

* **Live Data Packages**
* [twython](http://bit.ly/py-twython) - Python wrapper for the Twitter API
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2 changes: 1 addition & 1 deletion basic-programming.md
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Expand Up @@ -11,7 +11,7 @@ _[Please help make this better!]_
* Python the Hard Way [Online Book & Tutorial](http://learnpythonthehardway.org/book/) - my personal favorite Pythonic starting point.

#### **Startups and Software Engineering**
* Startup Engineering [Stanford / Coursera](https://class.coursera.org/startup-001) _NB: This is a full-stack class; explains development from conception to deployment. Great granualar, stepwise course explaining how to built an application from scratch._
* Startup Engineering [Stanford / Coursera](https://class.coursera.org/startup-001) _NB: This is a full-stack class; explains development from conception to deployment. Great granular, stepwise course explaining how to built an application from scratch._
* [How Browsers Work](http://www.html5rocks.com/en/tutorials/internals/howbrowserswork/)

### Programming Tools & key Python Resources
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2 changes: 1 addition & 1 deletion janitorial.md
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#### **Tools**

* [CSV Fingerprints](http://setosa.io/blog/2014/08/03/csv-fingerprints/) makes it easy to spot irrregularities in a CSV visually.
* [CSV Fingerprints](http://setosa.io/blog/2014/08/03/csv-fingerprints/) makes it easy to spot irregularities in a CSV visually.

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