Links to Awesome Resources that I found on the open web

• Free programming Books
• Awesome Public Datasets
• MCMC in python
• Hamiltonian Monte Carlo
• List of Machine Learning Frameworks
• Scalable Distributed Decision Trees in Spark - Slides
• Getting started with MLLib on EMR
• Bayesian ML on Spark
• [The best data visualizations of 2014] (http://gizmodo.com/the-best-data-visualizations-of-2014-1674001488)
• [Computers can now describe using language we understand] (http://www.engadget.com/2014/11/18/google-natural-language-image-description/?ncid=rss_truncated)
• [Google & Stanford Build similar Neural Networks] (http://motherboard.vice.com/read/google-and-stanford-just-released-the-same-research-on-neural-networks)
• [Neural networks that can describe photos] (https://gigaom.com/2014/11/18/google-stanford-build-hybrid-neural-networks-that-can-explain-photos/)
• [40 Data Visualizaton Libraries] (http://getprismatic.com/story/1418193839748?share=MjU2ODM.MTQxODE5MzgzOTc0OA.NlutHZNJgwRHeqBrqm-dQLt-qkU)

Tools

• [VersionEye - Monitor build.sbt for outdated dependencies] (http://blog.versioneye.com/2014/09/15/scala-sbt-support/)

Cool

• [Machines the best assistants for doctors] (http://www.usatoday.com/story/tech/2014/12/15/veterans-ibm-watson/20436315/)

Fun

• Classic Arcade Games in a browser
• View of Earth from space in real time