Léo Joubert

Chess player - Associate professor - Computational sociology at @univrouen and @dysolab1

[Raphael Grably @GrablyR]

Une question désormais: vient-on d’assister au plus grand délit d’initié de l’histoire de la finance?

[Le Gorafi @le_gorafi]

Adolf Hitler scandalisé par les allégations d’appartenance au nazisme sur sa page Wikipédia https://t.co/vDBwV8C0Fh

[Lena Mangold @lenafmangold]

Check out the code on our repository! (5/5)
https://t.co/PGWxsni8hr

[Caisses de grève (Gauche Gaza / Antifasciste) @caissesdegreve]

Sophia Aram (humoriste)
vs
➡️Martin Shaw (sociologue réputé pour ses travaux sur la violence de masse, la guerre et les génocides)
➡️Omer Bartov (historien spécialisé dans l'étude de l'Holocauste et des génocides)
➡️Raz Segal (historien spécialiste des études sur les génocides)

[LCI @LCI]

🔴 Censure du gouvernement

🗣️ "Marine Le Pen montre à Michel Barnier tous les jours de quel côté de la laisse il se situe. Les macronistes auront la défaite et le déshonneur"

👉 Marine Tondelier (@marinetondelier), Secrétaire nationale EELV, invitée de @daviddoukhan

[Revue-Terminal @Revue_Terminal]

Nouvel appel à articles de @RevueTerminal :

Nous proposons d’explorer les rapports entre le champ de l’#ÉconomieSocialeetSolidaire (#ESS) et les #TechnologiesNumériques.

A vos plumes & claviers !

https://t.co/SRuJhhpcvG

@Mel_Boudes @leojoubert @BenjaminLorre @creis_terminal

[Marine Tondelier @marinetondelier]

Marre du jeu de ping-pong entre leaders de la gauche.

Si c’est ça qu’on cherchait on regarderait les frères Lebrun, c’est plus intéressant sportivement et ça ne fait pas de mal à notre camp.

Avec @CastetsLucie on propose à celles et ceux qui veulent construire l’aventure commune pour la prochaine présidentielle un espace de travail.

Rejoignez-nous !

[Akshay 🚀 @akshay_pachaar]

Pandas is getting outdated.

5 reasons you should move to FireDucks 👇

1. Requires changing ONLY ONE line of code:
↳ Replace "𝗶𝗺𝗽𝗼𝗿𝘁 𝗽𝗮𝗻𝗱𝗮𝘀 𝗮𝘀 𝗽𝗱" with "𝗶𝗺𝗽𝗼𝗿𝗲 𝗳𝗶𝗿𝗲𝗱𝘂𝗰𝗸𝘀.𝗽𝗮𝗻𝗱𝗮𝘀 𝗮𝘀 𝗽𝗱"
↳ The rest of the entire code remains the same.
↳ So, if you know Pandas, you already know how to use FireDucks.
↳ Done!

2. Ridiculously faster as per official benchmarks:
↳ Modin had an average speed-up of 0.9x over Pandas.
↳ Polars had an average speed-up of 39x over Pandas.
↳ But FireDucks had an average speed-up of 50x over Pandas.

3. Pandas is single-core; FireDucks is multi-core.

4. Pandas follows eager execution; FireDucks is based on lazy execution. This way, FireDucks can build a logical execution plan and apply possible optimizations.

5. That said, even under eager execution, FireDucks is way faster than Pandas, as depicted in the image below.

Learn how to use FireDucks here: https://t.co/fWi3V9bvuu

👉 Over to you: What are some other ways to accelerate Pandas operations?
_____
Find me → @akshay_pachaar ✔️
For more insights and tutorials on AI and Machine Learning!

[Léo Joubert @leojoubert]

L'échec est un long fleuve tranquille

https://t.co/J0fwCZXCJm

[Olivier Bouba-Olga @obouba]

📌 Le Monde rural existe-t-il ?
C'est le titre de mon dernier article, publié par la revue Esprit dans son numéro de novembre 2024. Il est en ligne ici, dans un dossier consacré au "malentendu agricole" : https://t.co/WAXAW8wDv7 🧶 1/6

[Python Programming @PythonPr]

Machine Learning Algorithms

[Joachim Schork @JoachimSchork]

Bring your data visualizations to life with animation! The gganimate package extends ggplot2 by adding animation capabilities, making it easy to create dynamic and engaging plots that reveal patterns over time or across categories.

✔️ Dynamic Storytelling: Transform static charts into animated visuals, allowing you to showcase changes, trends, and sequences clearly and effectively.
✔️ Customizable Animations: Control the speed, transitions, and aesthetic elements of your animations, giving you full flexibility to highlight key points.
✔️ Engage Your Audience: Animated graphics make complex data easier to understand, keeping your audience engaged and helping them grasp insights faster.
✔️ Easy Integration with ggplot2: Works seamlessly with ggplot2, so you can animate your existing plots without needing to learn complex new syntax.

The example shown here is from the package website, illustrating how gganimate can transform typical plots into informative animations: https://t.co/GrCEqDQquK

Ready to master ggplot2 and its powerful extensions to make your visualizations stand out? Enroll in my online course, “Data Visualization in R Using ggplot2 & Friends,” starting on November 25, 2024!

See this link for additional information: https://t.co/ztlEzoEDWv

#VisualAnalytics #RStats #database #tidyverse

[Rohan Paul @rohanpaul_ai]

"Understanding LLMs from Scratch Using Middle School Math"

Neural networks learn to predict text by converting words to numbers and finding patterns through attention mechanisms.

So the network turns words into numbers, then use attention to decide what's important for predicting next words

Nice long blog (40 minuted reading time), check the link in comment.

[Santiago @svpino]

A free, online, hard-core Machine Learning book!

If you are interested in understanding how Machine Learning algorithms work, this is for you.

Great resource if you are one of those who cares about how the magic happens.

https://t.co/PCE1IwQFoJ

[Akshay 🚀 @akshay_pachaar]

Create neural network architecture drawings parametrically!

Meet NN-SVG – a free, open-source tool that makes creating neural network architecture DIAGRAMS fast and seamless.

What it offers:

📐 Parameterized NN architecture diagrams
🔄 Export as SVG for easy integration into papers & presentations
🎨 Customizable design options: colors, sizes, and layouts

It supports three types of diagrams:

🔹 Fully Connected Networks (FCNN)
🔹 Convolutional Networks (as per LeNet)
🔹 Deep Neural Networks (following AlexNet)

Perfect for both academics and educators to streamline their NN illustrations. Can't wait to explore this for my own work! ✨

Link to repo in next tweet!
____
Find me → @akshay_pachaar ✔️
For more insights & tutorials on AI and Machine Learning.

[Olivier Besancenot @olbesancenot]

« Quand tout le monde vous ment en permanence, le résultat n'est pas que vous croyez ces mensonges mais que plus
personne ne croit plus rien. » Hannah Arendt

[Akshay 🚀 @akshay_pachaar]

Simplest guide to building your first neural network using PyTorch:

[Neil Renic @NC_Renic]

Academic ironies

[Gabriel Zucman @gabriel_zucman]

Le PLF, article 3, introduit un impôt minimum de 20% sur les très riches

En l’état cette mesure rapporterait assez peu, 2 milliards au plus

Mais avec de petites améliorations, elle pourrait rapporter 10 x plus, et changer radicalement l’équation budgétaire

Voici comment 🧵

[Santiago @svpino]

Large Language Models don't reason.

Thank you,
Apple.