Continual learning is the key! This is probably why building human like memory for agents is getting so big. @zep_ai @danielchalef
MACHINE LEARNING
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Football Analytics with Python and R for Data Science Learning
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(*AMERICAN*) Football #Analytics with #Python and R — Learning #DataScience Through the Lens of Sports: http://
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Fraud Analytics Book: Data Science and Machine Learning Applications
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See this #FraudAnalytics book: http://
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Reinforcement Learning vs LLMs: Understanding vs Mimicking
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“Reinforcement learning is to understanding your world, whereas LLMs are about mimicking people, doing what people say you should do. They’re not about figuring out what to do.”
– Richard Sutton https://
youtube.com/watch?v=21EYKq
UsPfg&t=159s
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100+ Free Step-by-Step AI Agents and RAG Systems Tutorials
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100+ free step-by-step tutorials with code covering: AI Agents RAG Systems Voice AI Agents MCP AI Agents Multi-agent Teams Autonomous Game Playing Agents P.S: Don't forget to subscribe for FREE to access future tutorials.
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Google: 90% of developers now use AI tools
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3. Google: 90% of devs use AI tools Google Cloud’s DORA report shows adoption has surged, but trust in AI outputs remains low, a gap between usage and confidence.
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High School Mathematics Foundation for Data Science and Machine Learning
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High school #Mathematics — foundation for #DataScience and #MachineLearning →
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Learn Beginning, Intermediate, and Advanced Calculus here: http://
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Data Processing Intelligence and Synthetic Learning in AI Algorithms
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Yes. First there’s still the need of processing the data intelligently, and data keeps growing (billions of videos per year). Second, many algorithms can exploit the environment and other agents to learn from growing synthetic data, eg DeepSeek-zero learning math.
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AlphaGo Zero Trained Exclusively on Synthetic Data
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AlphaGo zero trained only on synthetic data.
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Houdini Procedural 3D: Training Grounds for Robotics and AI
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Houdini is the OG of procedural 3D generation.
— Bilawal Sidhu (@bilawalsidhu) 27 septembre 2025
The same tools Hollywood uses to build massive simulated worlds are equally useful as training grounds for robotics – reproducible physics, deterministic traffic, worlds you can run a thousand times.
Procedural is control. AI is… pic.twitter.com/3DBoJlQNfJHoudini is the OG of procedural 3D generation. The same tools Hollywood uses to build massive simulated worlds are equally useful as training grounds for robotics – reproducible physics, deterministic traffic, worlds you can run a thousand times. Procedural is control. AI is