Weekly Machine Learning drop #14

I’ve become more and more interested in machine learning during last year. This is my way of collecting and sharing interesting reads on the topic I stumble upon. I publish those posts every Friday. They are divided into few categories and the format is constantly evolving.

News

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

Inside Waymo’s Secret World for Training Self-Driving Cars
In this article, author visits Waymo’s facility for testing self-driving cars. He describes the operations there and how Waymo is using recorded real life situation, to rerun them in a virtual test environment. And this environment now evolved to simulate also previously “unseen” situation.

Microsoft unveils Project Brainwave for real-time AI
Microsoft presented new FPGA-based chip specifically designed for running high-performance machine learning computations. Together with it, they announced Project Brainwave, which (apart from the chip) consist of distributed system architecture and compiler and runtime for easy deployment of models.

How Big Data Mines Personal Information to Craft Fake News and Manipulate Voters
A darker side of Machine Learning revolution. With current computer powers and algorithms, it became very easy for evil actors to gather information about people, and create very tailored news that alters’s people opinions and decisions.

How does Physics connect to Machine Learning
Fascinating (and a bit math heavy) article on how concepts known from Physics find their translation into Machine Learning world.

Learning materials

This week I wanted to share with you some repositories with Tensorflow best practices and new Deep Learning course by Andrew Ng. 

Machine Learning for humans
It’s a series of articles targeted at technical professionals wanting to understand ML or non-technical people who are happy to engage with technical content.

Practical Deep Learning for Coders
This 7 weeks course by Fast.ai is fun, project based way to learn Deep Learning. It’s pretty heavy in content – authors suggest to secure 10hrs a week to be able to succeed with it.

This is it for today, thanks for reading. If you liked the post, let me know and please check other parts of the series.

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