Merge pull request #24 from besirkurtulmus/master

Add Algorithmia IPython Notebook example

README.md

@@ -23,6 +23,7 @@
 * [spark](#spark)
 * [mapreduce-python](#mapreduce-python)
 * [amazon web services](#aws)
+* [algorithmia](#algorithmia)
 * [command lines](#commands)
 * [misc](#misc)
 * [notebook-installation](#notebook-installation)
@@ -231,6 +232,7 @@ IPython Notebook(s) demonstrating Hadoop MapReduce with mrjob functionality.
 | [mapreduce-python](http://nbviewer.ipython.org/github/donnemartin/data-science-ipython-notebooks/blob/master/mapreduce/mapreduce-python.ipynb) | Runs MapReduce jobs in Python, executing jobs locally or on Hadoop clusters. Demonstrates Hadoop Streaming in Python code with unit test and [mrjob](https://github.com/Yelp/mrjob) config file to analyze Amazon S3 bucket logs on Elastic MapReduce.  [Disco](https://github.com/discoproject/disco/) is another python-based alternative.|
 
 <br/>
+
 <p align="center">
   <img src="https://raw.githubusercontent.com/donnemartin/data-science-ipython-notebooks/master/images/aws.png">
 </p>
@@ -239,6 +241,7 @@ IPython Notebook(s) demonstrating Hadoop MapReduce with mrjob functionality.
 
 IPython Notebook(s) demonstrating Amazon Web Services (AWS) and AWS tools functionality.
 
+
 Also check out:
 
 * [SAWS](https://github.com/donnemartin/saws): A Supercharged AWS command line interface (CLI).
@@ -280,6 +283,7 @@ IPython Notebook(s) demonstrating miscellaneous functionality.
 | Notebook | Description |
 |--------------------------------------------------------------------------------------------------------------------------------------------|-----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|
 | [regex](http://nbviewer.ipython.org/github/donnemartin/data-science-ipython-notebooks/blob/master/misc/regex.ipynb) | Regular expression cheat sheet useful in data wrangling.|
+[Algorithmia Examples](http://nbviewer.ipython.org/github/donnemartin/data-science-ipython-notebooks/blob/master/algorithmia/Algorithmia.ipynb) | Algorithmia is a marketplace for algorithms. This notebook showcases 4 different algorithms: Face Detection, Content Summarizer, Latent Dirichlet Allocation and Optical Character Recognition.|
 
 ## notebook-installation