#NeurIPS2018 Online Videos facebook.com/pg/nipsfoundat…

The full peer-reviewed @sciencemagazine evaluation of #AlphaZero is here - a single algorithm that creatively masters chess, shogi and Go through self-play deepmind.com/blog/alphazero…

Check out this TensorFlow.js implementation of @deepmind's AlphaGo-Zero algorithm for chess by François Pays. You can play the AI directly in the browser! Live demo at: frpays.github.io/lc0-js/ Open source code at: github.com/frpays/lc0-js/

We’re gearing up for the 2019 edition of Stanford CS224N: Natural Language Processing with Deep Learning. Starts Jan 8—over 500 students enrolled—using PyTorch—new Neural MT assignments—new lectures on transformers, subword models, and human language. web.stanford.edu/class/cs224n/

New year and we are SO excited to officially open source our foundations of machine learning course!! Each module focuses on accessible examples designed to teach you about good practices and common algorithms. Interested? Get started right away! :) bit.ly/2itxWEi

I'm gonna be a bit braver this year and expose all my filler words on youtube: youtube.com/playlist?list=… In other words, my lecture in Applied Machine Learning at @DSI_Columbia will go online as I give the lectures. Materials here: cs.columbia.edu/~amueller/coms…

mlcourse.ai is a 10-week course that starts tomorrow. It was created with input from a bunch of Kaggle Grandmasters. Starts with manipulating data using Pandas. covers feature engineering, time series forecasting and training using GBMs.

New blog post: For the past couple years, I've been telling people who ask me for advice not to go into data science. Here's why: The data science job market is way oversaturated. Here's what they should do instead. veekaybee.github.io/2019/02/13/dat…

✨🙌 Announcing: the new tensorflow/examples repo! This repo is intended to consolidate official TensorFlow examples, tutorials, & Project Jupyter notebooks + community-contributed content. Please send in your PRs - we'd love to see what you've created! github.com/tensorflow/exa…

2 years, 250 pages, 1,219 commits, and 78,480 words: I am very proud to say that today I published the 1st edition of "Interpretable Machine Learning". 🎉🎉🎉 Web: christophm.github.io/interpretable-… Leanpub: leanpub.com/interpretable-…

OpenAI’s new multitalented AI writes, translates, and slanders theverge.com/2019/2/14/1822… via @Verge

Learn the foundations of Deep Learning and TensorFlow from Massachusetts Institute of Technology (MIT): complete lecture series and code examples for TensorFlow 2.0 now online! Read more here ↓ bit.ly/2IIDxHu

Completely agree with you Christoph Molnar 🦋 christophmolnar.bsky.social. This step back is necessary. Your work on explainable AI opened the eyes of people that were spending too much effort on modeling without seeing the big picture. bentoml.com/posts/2019-04-…

Now it’s easy to self-host “Attacking and Defending Kubernetes Clusters” on GKE! Check it out: securekubernetes.com

My latest article has been published on DevOps Dudes! 🎉

How to Write a TCP Port Scanner in Go by Benoît Goujon link.medium.com/o9uZt0ott7

Great thread about remote work

Je suis la recommendation de Jérôme Mainaud dans le dernier épisode de Big Data Hebdo ! Premières pages très intéressantes en effet 😊

⛵ Guilhem Lettron Trop content de partager cet outil avec la communauté SRE ! Il est pleinement open source, par ici : github.com/padok-team/tfa…

Dans 10 ans je pourrai dire que j'étais à la première édition du SRE France summer camp et que j'ai même eu la chance d'y faire une présentation 🙈