Benoît Goujon
@benoit_goujon
Software engineer • Python • Go
Dans 10 ans je pourrai dire que j'étais à la première édition du @SREFrance summer camp et que j'ai même eu la chance d'y faire une présentation 🙈
De #SRE à #DRE, comment les pratiques #SRE influencent le monde de la data par Benoit Goujon aka @benoit_goujon youtube.com/watch?v=nN-mR_…
youtube.com
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De SRE à DRE, comment les pratiques SRE influencent le monde de la...
Trop content de partager cet outil avec la communauté SRE ! Il est pleinement open source, par ici : github.com/padok-team/tfa…
Je suis la recommendation de @jxerome dans le dernier épisode de @bigdatahebdo ! Premières pages très intéressantes en effet 😊
Great thread about remote work
I've spoken to 1,500+ people about remote work in the last 9 months A few predictions of what is likely to emerge before 2030 [ a thread ] 💻🏠🌍
How to Write a TCP Port Scanner in Go by Benoît Goujon link.medium.com/o9uZt0ott7
My latest article has been published on DevOps Dudes! 🎉
Now it’s easy to self-host “Attacking and Defending Kubernetes Clusters” on GKE! Check it out: securekubernetes.com
Completely agree with you @ChristophMolnar. 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-…
Learn the foundations of Deep Learning and TensorFlow from @MIT: complete lecture series and code examples for TensorFlow 2.0 now online! Read more here ↓ bit.ly/2IIDxHu
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…
OpenAI’s new multitalented AI writes, translates, and slanders theverge.com/2019/2/14/1822… via @Verge
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-…
✨🙌 Announcing: the new tensorflow/examples repo! This repo is intended to consolidate official @TensorFlow examples, tutorials, & @ProjectJupyter notebooks + community-contributed content. Please send in your PRs - we'd love to see what you've created! github.com/tensorflow/exa…
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.
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…
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
Check out this TensorFlow.js implementation of @deepmind's AlphaGo-Zero algorithm for chess by @frpays. 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/
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…
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