The power of personalized AI
#AI #AIio #AIInnovation #ML #DataScience #Futureofwork @Scobleizer @AndrewYNg @drfeifei @KirkDBorne @fchollet @rowancheung @antgrasso
MACHINE LEARNING
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The Power of Personalized AI in Innovation and Future Work
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3 Python Books for Algorithmic Trading and Machine Learning
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3 Books on #AlgorithmicTrading with #Python 1) Cookbook with Recipes: https://
amzn.to/4l62WbC 2) With Machine Learning: https://
amzn.to/45Nqtti 3) Quantitative Methods: https://
amzn.to/3uvYlKk
… …with GitHub code repository: https://
github.com/chrisconlan/al
gorithmic-trading-with-python
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Vector Search for Practitioners with Elastic Toolkit
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Vector Search for Practitioners with Elastic — A toolkit for building #NLProc solutions for search, observability, and security: http://
amzn.to/3vEkWFe via @PacktDataML ————
#DataScience #Analytics #DataScientist #MachineLearning #AI #VectorDB #RAG #LLMs #GenerativeAI #GenAI -
XGBoost for Regression Predictive Modeling and Time Series Analysis
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XGBoost for Regression Predictive Modeling and Time Series Analysis — Learn how to build, evaluate, & deploy predictive models: https://
amzn.to/4l2YcU9 via @PacktDataML —
My review: XGBoost is definitely the focal point and central contribution of this book, and also those -
Deep Learning with TensorFlow and Keras Complete Guide Third Edition
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#DeepLearning with #TensorFlow and #Keras — Build and Deploy Supervised, Unsupervised, Deep, and Reinforcement Learning Models (3rd Ed., 667 pages): http://
amzn.to/3gitVEJ v/ @PacktDataML —————
#DataScientist #DataScience #AI #MachineLearning #ML -
PEVA: Egocentric Video Prediction from 3D Body Motion
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10. Whole-Body Conditioned Egocentric Video Prediction
— DAIR.AI (@dair_ai) 29 juin 2025
This paper introduces PEVA, a conditional diffusion transformer that predicts egocentric video conditioned on 3D human body motion.https://t.co/CnDXcQHUqy10. Whole-Body Conditioned Egocentric Prediction This paper introduces PEVA, a conditional diffusion transformer that predicts egocentric video conditioned on 3D human body motion.
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Diffusion Steering via Reinforcement Learning for Policy Adaptation
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9. Diffusion Steering via RL
— DAIR.AI (@dair_ai) 29 juin 2025
This paper introduces Diffusion Steering via Reinforcement Learning (DSRL), a method for adapting pretrained diffusion policies by learning in their latent-noise space instead of finetuning model weights.https://t.co/qDZKfUIIGv9. Diffusion Steering via RL This paper introduces Diffusion Steering via Reinforcement Learning (DSRL), a method for adapting pretrained diffusion policies by learning in their latent-noise space instead of finetuning model weights.
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Google DeepMind Introduces AlphaGenome for Genetic Variant Prediction
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6. AlphaGenome
— DAIR.AI (@dair_ai) 29 juin 2025
Google DeepMind introduces AlphaGenome, a powerful AI model designed to predict how genetic variants affect gene regulation by modeling up to 1 million DNA base pairs at single-base resolution.https://t.co/Ee0aMsvVT66. AlphaGenome Google DeepMind introduces AlphaGenome, a powerful AI model designed to predict how genetic variants affect gene regulation by modeling up to 1 million DNA base pairs at single-base resolution.
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Reinforcement Learning Teachers Optimize Student Model Learning
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4. Reinforcement-Learned Teachers of Test Time Scaling
— DAIR.AI (@dair_ai) 29 juin 2025
Introduces efficient LMs trained with RL not to solve problems from scratch, but to generate high-quality explanations that help downstream student models learn better.https://t.co/8a6kcI1Fdu4. Reinforcement-Learned Teachers of Test Time Scaling Introduces efficient LMs trained with RL not to solve problems from scratch, but to generate high-quality explanations that help downstream student models learn better.
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MEM1: RL Framework for Efficient Long-Horizon Language Agents
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2. MEM1 This work introduces MEM1, an RL framework for training language agents that operate efficiently over long-horizon, multi-turn tasks by learning to consolidate memory and reasoning into a compact internal state.