Weekly Machine Learning drop #1

I’ve become more and more interested in machine learning in last year. This is my way of collecting and sharing interesting reads on topic I stumble upon. They will be arranged in few categories. Those posts will be published each Friday and format will evolve.

In this part I share interesting news from machine learning and artificial intelligence world. Those are mostly not very scientific articles about interesting applications,  predictions and controversies that AI causes.

Some of those are not “news” anymore, as I have a long backlog of them saved. They are all very interesting though!

AI builds it’s own encryption algorithm
Google wanted to see if AI can build encryption algorithm, that will be harder to break for humans. Looks like they succeeded.

Blizzard and DeepMind work on API for Starcraft II to build bots to play the game
It’s supposed to be research environment to build AI algorithms to play in complex game. DeepMind are authors of the AlphaGo that beat Lee Sedol in GO few months ago. Also similar concept of environment for testing AI algorithms on games is available through OpenAI Gym.

Does AI has First Amendment rights?
Amazon is claiming that Alexa has right to claim First Amendment rights in murder case to fight an order to hand over recordings from an Amazon Echo.

Bringing dead back to life with machine learning
Fascinating article about creating chatbot based on dead’s person text communication. If you’re into TV series, similar concept was presented in S02E01 episode of Black Mirror.

How to win election with machine learning
A bit scary article presenting how machine learning was used to to gather information and target individuals with customized advertisements to bias their views and alter their voting choices.

I pick one or two videos every week that touches interesting subject in AI and ML field. Some time it’s more scientific and the other it’s about real life applications.

TED Talk – incredible inventions of intuitive AI
Interesting video about how helpful AI algorithms already are in engineering and design.

The Next Rembrandt
By analyzing previous painting of Rembrandt, group of data scientists and museum workers created new “Rembrandt’s” painting over 300 years after his death.

Learning materials
Here I’m sharing material for learning machine learning that I found useful – online courses, blogs, books etc. This is gonna be rather technical stuff.

Stanford University Machine Learning
What else could have landed in the first episode? This is a classic course on machine learning. Many people in the field recommend it for a start. It’s led by Baidu’s chief scientist, Coursera’s co-founder and Stanford professor – Andrew Ng. It’s quite intensive 3 months course, that will give you basics of mathematical concepts in ML and walk through basic algorithms. Highly recommended.

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