"Machine Learning for Dummies", by @lucamassaron and John Paul Mueller, now in its 3rd Edition: http://
amzn.to/44b8WJJ 𝙇𝙚𝙖𝙧𝙣:
What machine learning is, what it can do, and what it can't do.
Basics of machine learning code and how it integrates with large datasets.
CODE
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Machine Learning for Dummies (3rd Edition)
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DeepAgent: Your Personal AI Assistant on Telegram
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Your personal AI agent is here! Vibe code your own agent with DeepAgent, message it on Telegram, and watch it handle your tasks. From responding to emails to complex workflows – your AI assistant is just a message away. #AI #DeepAgent #AbacusAI
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Scikit-learn Cookbook (3rd Ed.) — 80+ Machine Learning Recipes
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Scikit-learn Cookbook — 80+ recipes for #MachineLearning in Python with scikit-learn [3rd Edition]: http://
amzn.to/4oDGOq7 v/ @PacktDataML 𝓒𝓸𝓷𝓽𝓮𝓷𝓽𝓼:
Common Conventions & API Elements of Scikit-Learn
Pre-Model Workflow and Data Preprocessing
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Developer Rushes Home to Build with OpenClaw Crew
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So awesome. I'm at work and need to rush home early to huddle with my openclaw crew and keep building. Will return to work tomorrow with new superpowers I'm sure.
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LangSmith Traces Filtering Experience Enhanced with New Updates
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🚀 New updates to the LangSmith filtering experience when viewing Traces!
— LangChain (@LangChain) 19 février 2026
It’s now easier to:
• Apply filters and edit filters
• See active filters at a glance
Happy tracing! pic.twitter.com/ASlK34Wds8New updates to the LangSmith filtering experience when viewing Traces! It’s now easier to:
• Apply filters and edit filters
• See active filters at a glance Happy tracing! -

Comparison of Gemini 3.1 Pro and Codex 5.3 Performance
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Gemini 3.1 Pro is here. Benchmarks look impressive, and definitely a qualitative improvement over 3.0. However, it also looks like OAI really cooked with Codex 5.3 for coding.
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Avoiding One-Shot Solutions: Multi-Process Testing Approach
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My advice is to not try to get it to one-shot it. Actually I have a pet theory that very stern instruction primes a junior developer role (because that's who gets micromanaged). Just invoke a second process, it's better for the tests not to have the same context anyway
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Pelican Driving a Car with Cat and Eiffel Tower in SVG
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"Generate an SVG of a pelican riding a car in France with a cat sitting beside it. Background has Eiffel tower." [Translated from EN to English]
→ View original post on X — @oriolvinyalsml, 2026-02-19 16:21 UTC
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Gemini 3.1 Pro Launch: Advanced Capabilities and SVG Improvements
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Gemini 3.1 Pro has landed! Amazing performance / capabilities across the board. Beyond SOTA, the best are all the things that evals can't measure. E.g. SVG has gotten so much better (see 🧵) blog.google/innovation-and-a…
→ View original post on X — @oriolvinyalsml, 2026-02-19 16:21 UTC
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Stochastic Gradient Lattice Random Walk for Bayesian Inference
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Struggling with minibatch noise in Stochastic Gradient Bayesian Inference? Want your chains to naturally run on stochastic hardware?
— Lars Holdijk (@HoldijkLars) 19 février 2026
Introducing — Stochastic Gradient Lattice Random Walk!
New work from @NormalComputing in collab with @zierhjmensch, @adnarim066, @wellingmax, and… pic.twitter.com/Mt7CBwopMaStruggling with minibatch noise in Stochastic Gradient Bayesian Inference? Want your chains to naturally run on stochastic hardware? Introducing — Stochastic Gradient Lattice Random Walk! New work from @NormalComputing in collab with @zierhjmensch, @adnarim066, @wellingmax, and the dream team at normal computing, @Sam_Duffield, @MaxAifer and @ColesThermoAI.
→ View original post on X — @wellingmax, 2026-02-19 16:05 UTC