Fix typos, add a link

strata-sj-2016/README.md

@@ -1,23 +1,24 @@
 # Strata + Hadoop World, San Jose, 2016
 
-This directory contains demo notebooks used for **Practical Machine**, an all-day tutorial 
+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
-- detecing anomalies
+- detecting anomalies
 - analyzing time series data
-- image analysis using deep learning. 
+- 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.
+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