Intro to Deep Learning

with Dan Becker from Data Robot

https://github.com/dansbecker/ODSC-Intro-to-DL-Workshop

Note, this demo depends on keras. If you're running Theono backend on Windows you need to switch your json to Theono, or simply run in a DSVM which has all the dependencies.

Nice how to on setting up your Azure Data Science Virtual Machine on Linux and accessing jupytr https://docs.microsoft.com/en-us/azure/machine-learning/machine-learning-data-science-linux-dsvm-intro

Hands on Spark, Beyond the Basics

with Adam Breindel

PDF of course slides

https://drive.google.com/drive/folders/0B6-rU9hn16e7SnVwQUR6bWVQMDg

Databricks demo of spark setup

http://tinyurl.com/odsc-spark public google drive folder with slides, labs and data

Databricks account

create a datapricks ce account http://tinyurl.com/databricks-ce (chrome or firefox) https://odsc-adbreind.c9users.io/labs.dbc

Programming guides:

http://spark.apache.org/docs/latest/ https://docs.databricks.com (applies to spark open source)

Bots and Cognitive Services

Micheleen Harris

https://github.com/michhar/bot-masterclass

Great Jupyter Notebook Command Site

http://support.datascientistworkbench.com/knowledgebase/topics/114831-jupyter-notebooks