Joseph Rocca

47 posts

Joseph Rocca

@roccajo

Machine Learning Engineer at Meta. Mathematics instructor at UTC. Writer at Towards Data Science.

Katılım Ocak 2019

23 Takip Edilen297 Takipçiler

Joseph Rocca@roccajo·9 Ara

Glad to share the lastest @TDataScience article I wrote with the one and only Baptiste Rocca! Interested in Diffusion Models and eager to get a solid understanding of the new state of the art in generative modeling? Have a look and leave us a feedback! towardsdatascience.com/understanding-…

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Joseph Rocca@roccajo·6 Eki

Glad to share the Medium post I had the pleasure to write with @juhanlol about @Teads A/B test analysis framework (from #maths to #production). medium.com/teads-engineer…

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Joseph Rocca retweetledi

Teads Innovation@TeadsInnovation·5 Eki

In a new blog post, @juhanlol and @roccajo describe how they built a framework using Apache #Spark and #AWS Athena to make our standard #ABtest analysis scalable, reliable, and easy to access 🚀👏 #DataScience medium.com/teads-engineer…

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Joseph Rocca@roccajo·20 Eyl

Great Medium post from @LouisF19810634! Have a look at it!

Teads Innovation@TeadsInnovation

Today we have a new #Engineering blog post from @LouisF19810634 and Thomas Lambert about their investigation 🧰 to solve a sneaky network issue encountered with #Kafka on #AWS 👇medium.com/teads-engineer…

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Joseph Rocca retweetledi

Towards Data Science@TDataScience·20 Nis

The value of data-informed decision-making seems obvious, but knowing when you've collected enough data for making the right call can be challenging. @RoccaBaptiste and @roccajo explore several options in depth. buff.ly/3eisYan

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Joseph Rocca@roccajo·19 Nis

New post about the exploration-exploitation dilemma in ML, written with @RoccaBaptiste and published in @TDataScience !! 🎉 e-greedy, optimistic initialisation, UCB, Thompson Sampling... with intuitions and examples. Do not hesitate to leave a feedback! towardsdatascience.com/the-exploratio…

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Joseph Rocca retweetledi

Towards Data Science@TDataScience·25 Mar

Here's the patient, well-illustrated, step-by-step introduction to variational autoencoders (VAEs) you always wanted but didn't know where to find, from @roccajo and Baptiste Rocca. buff.ly/2n0Pqyn

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Joseph Rocca@roccajo·2 Mar

For people that would be interested, you can read more about VAEs and GANs in my blog posts: towardsdatascience.com/understanding-… towardsdatascience.com/understanding-…

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Joseph Rocca@roccajo·2 Mar

Really glad and proud to see that my @TDataScience posts can be useful in the creation of such quality educational content! Thanks @MITDeepLearning for sharing such great video to everyone and thanks for mentioning my work!

MIT Intro to Deep Learning@MITDeepLearning

💥💥Interested in GANs and VAEs? New lecture by @apsoleimany on Deep Generative Modeling for @MITDeepLearning 2021 is now online! Lectures every Friday for the rest of the course ‼️ New Lecture 👉youtube.com/watch?v=BUNl0T… @MIT Course Website 👉 introtodeeplearning.com

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Joseph Rocca retweetledi

Kevin Corella N. 🔬🔭 🇪🇺@KevinClarity·31 Oca

“Introduction to Markov chains” by @roccajo link.medium.com/Cg9c8Iabvdb #Machinelearning #100DaysOfCode #IoT #IIoT #Bigdata #100DaysOfMLCode #Python #flutter #cybersecurity #RStats #CodeNewbie #DataScience #DEVCommunity #RPA #artificialintelligence

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Joseph Rocca@roccajo·4 Kas

Delighted to realise that my @TDataScience post on ensemble methods in machine learning is linked on the homepage of Numpy! Thanks for sharing @numpy_team and glad to see that I can contribute to the community in my own way. towardsdatascience.com/ensemble-metho…

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Joseph Rocca retweetledi

Louis Fruleux@LouisF19810634·3 Kas

Really glad to share my first Medium article about Compact Prediction Tree, published in @TDataScience. 🎉 Any feedback is welcome. Looking forward to share further articles. towardsdatascience.com/compact-predic…

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Joseph Rocca@roccajo·31 May

@bob_stienen @TDataScience Absolutely no problem, feel free to use them in any document you want! I would be glad if it could help you.

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Bob Stienen@bob_stienen·30 May

In writing my thesis I came across this awesome article about Variational Autoencoders (VAEs) by @roccajo on @TDataScience :-) I especially like the clear graphics! @roccajo, could I maybe use some of them in my thesis O:)? towardsdatascience.com/understanding-…

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Joseph Rocca@roccajo·30 May

@patri_vaquero_ @TDataScience You should be able to download it here: drive.google.com/file/d/1X56DI5…

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🤖 datatechworld 🤖@patri_vaquero_·30 May

@roccajo @TDataScience Can you share the link to download it?? 🙏

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Joseph Rocca@roccajo·28 May

The last cheat sheet I produced for @TDataScience is now available. We hope you will find this overview of hierarchical clustering useful! Feel free to share and to give us a feedback!

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Joseph Rocca retweetledi

Towards Data Science@TDataScience·26 May

Here is our latest cheat sheet: Hierarchical clustering buff.ly/2M1gBSs ✨ Thanks @roccajo for creating it! We hope everyone finds it helpful.

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Joseph Rocca@roccajo·9 May

@abilgegunduz @TDataScience Thanks a lot for the feedback! You are right on your point... but we didn’t say that it is the best way ☺️

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Bilge@abilgegunduz·8 May

@roccajo @TDataScience This is well explained and illustrated article 👏🏻 I only have an objection about a point. Elbow is the simplest and most basic way choose K but as far as I know it’s not the best. 😊

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Joseph Rocca@roccajo·7 May

Really glad to share the second cheat sheet I produced for @TDataScience, presenting the k-means clustering algorithm! 🎉 Feel free to share and to give a feedback to help us improve our future sheets!