Year in Review

It's been quite a year.

It appears we're moving closer to the Hardware + Software + AI singularity and all the stuff that comes with that... and it's kind of scary.

Here again is Jeff Leek's Non-comprehensive list of awesome things other people did in 2015.

Some of the majors like Google, Facebook, Baidu and Microsoft open sourced some of their internal Deep Learning tools / frameworks. Most of the value coming from these tools will be interesting and useful products built with / on them.

Also, this one literally sent chills down my spine - Landing of Falcon 9 first stage. I guess we're one step closer to Mars and becoming a multi planetary species.

I didn't quite put out much content out there this year. I'm hoping to do more writing next year.

Stay tuned...

Some more interesting links-4, Machine Intelligence, TDA, ipython notebooks

Most Topological Data Analysis tools are either stuck in academic research papers or Company intellectual property. DataRefiner might help to change that

Python for Exploratory Computing : Collection of ipython notebook showing python basics, statistics and advanced python topics

A collection of ipython notebooks on hacking security data 

This is the future of education Open Loop University, where your education is spread over several years. You'll have periods of work with schooling interlaced inbetween

Detailed infograph showing major players in the Machine Intelligence space

You should look at this if you're interested in the Quantified Self space

I've been looking for something like this. Instant temporary ipython notebooks hosted in the cloud

An extensive Deep Learning Reading list

Nice reading on Generative vs Discriminative Algorithms (Naive Bayes - Logistic Regression)