# Strata + Hadoop World, San Jose, 2016

This directory contains demo notebooks used for **Practical Machine**, an all-day tutorial 
at [Strata + Hadoop World, San Jose, 2016](http://conferences.oreilly.com/strata/hadoop-big-data-ca/public/schedule/detail/47056).
The course is designed to introduce machine learning via real applications like 
- building a recommender
- detecing anomalies
- analyzing time series data
- image analysis using deep learning. 
- predicting customer churn
- deploying machine learning 

## Setup Instructions

You can browse the notebooks using Github iPython notebook viewer. Note that
some images may not be rendered correctly If you'd like to run it, follow these
steps to set up your machine.

- [Download](https://dato.com/download/) GraphLab Create v1.8.5 and then follow instructions to [install](https://dato.com/download/install.html).
- Download and unzip the datasets [[831MB]](http://static.dato.com/ml101_datasets_stratasj_2016.zip)

## Handy references

- [GraphLab Create User Guide](http://dato.com/learn/userguide)
- [GraphLab Forum](http://forum.dato.com/categories/graphlab-create)

# Strata + Hadoop World, San Jose, 2016

This directory contains demo notebooks used for **Practical Machine Learning**, an all-day tutorial 
at [Strata + Hadoop World, San Jose, 2016](http://conferences.oreilly.com/strata/hadoop-big-data-ca/public/schedule/detail/47056).
The course is designed to introduce machine learning via real applications like 
- building a recommender
- detecting anomalies
- analyzing time series data
- image analysis using deep learning
- predicting customer churn
- deploying machine learning 

## Setup Instructions

You can browse the notebooks using Github's notebook viewer, but please note that
some images may not be rendered correctly. Follow these
steps to set up and run the notebooks on your own machine.

- [Download](https://dato.com/download/) GraphLab Create v1.8.5 and then follow instructions to [install](https://dato.com/download/install.html).
- Download and unzip the datasets [[831MB]](http://static.dato.com/ml101_datasets_stratasj_2016.zip)
- [Install Jupyter notebook](http://jupyter.readthedocs.org/en/latest/install.html)

## Handy references

- [GraphLab Create User Guide](http://dato.com/learn/userguide)
- [GraphLab Forum](http://forum.dato.com/categories/graphlab-create)

Fix typos, add a link
Fix typos, add a link