This Week in Machine Learning: DRL, Algorithms Evolution, Interview with ML Engineer from Amazon & More

Posted April 27, 2020

Every day brings new opportunities. A week brings even more. To make sure you’re getting the most out of it, we’ve gathered a list of trending articles of the week – everything about Data Science, AI, tech and machine learning.

Here goes a dose of the latest news, discoveries, and inspiring stories from the world of Machine Learning. There is something for everyone. Enjoy your read!

Weekly Roundup: April 15 – 26

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Chip Design with Deep Reinforcement Learning on Google AI Blog | April 23

The authors pose chip placement as a reinforcement learning (RL) problem, where they train an agent (i.e, an RL policy) to optimize the quality of chip placements.

> Springer has released 65 Machine Learning and Data books for free by Uri Eliabayev on Towards Data Science blog | April 26

Springer has released hundreds of free books on a wide range of topics to the general public. The list, which includes 408 books in total, covers a wide range of scientific and technological topics. Here’s the list of all the books (65 in number) that are relevant to the data and Machine Learning field.

The Amazon Machine Learning Engineer Interview by Terence Shin on Towards Data Science Blog | April 21

Understanding Amazon’s culture, hiring process, and interview questions.

Make sure to read the interview if you see yourself working in the future as an ML engineer at Amazon.

> This Is How Algorithms Will Evolve Themselves by Courtney Linder on Pop Mech | April 23

Google is borrowing from Darwin to make a seismic leap in automatic machine learning. It could spell out the end of most human bias.

> From mythology to machine learning, a history of artificial intelligence by Katia Patin on Coda Story | April 23

While AI now powers smart cities, driverless cars and home appliances, ethical concerns about the technology have existed for centuries.

In this interesting read, the author presents  nine important milestones in the history of AI and the ethical concerns that have long loomed over the field.

> KDnuggets™ News of the week with top stories and tweets of the past week, plus opinions, tutorials, events, webinars, meetings, and jobs.

> Old but gold, the reliable Reddit thread on ML for more news on machine learning

That’s all folks! I hope you found something of interest in this weekly roundup. Don’t forget to check our blog for more inspiring articles.

👉 Came across an interesting ML article? Or maybe you wrote one yourself and would like to share it with other people? Let us know, we’ll spread the news in our weekly roundup!