TRANSFER LEARNING book [390 pages]: http://
amzn.to/3R4G0zm Amazon Summary:
"Transfer learning deals with how systems can quickly adapt themselves to new situations, tasks and environments. It gives machine learning systems the ability to leverage auxiliary data and models to
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New Book Release on Transfer Learning for Machine Learning Systems
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A Comprehensive Learning Path for Aspiring AI Developers
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AI Mastery >> The Complete Machine Learning Engineer Cookbook for Everyone — Become an AI Developer with Python: http://
amzn.to/3XZTzQS Complete 5-part Learning Path:
1 – Build Your Foundation
2 – Assemble Your ML Toolkit
3 – Discover Deep Learning & Generative AI
4 – Master -
Python Feature Engineering Cookbook for Machine Learning Models
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3rd Edition! "Python Feature Engineering Cookbook", complete guidebook with recipes for crafting powerful features for #MachineLearning models: http://
amzn.to/4rDWUT9 by @Soledad_Galli —————
#AI #ML #DataLiteracy #DataScience #DataScientist -
50 ML Projects for Understanding LLMs and Transformer Mechanisms
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50 ML projects to understand LLMs — Investigate transformer mechanisms through data analysis, visualization, and experimentation: http://
amzn.to/4aPfP7q
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#AI #GenAI #MachineLearning #DataScientist #DataScience -
New Book Release: Machine Learning Foundations Volume 1
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New Release! "Machine Learning Foundations, Volume 1: Supervised Learning" – available at http://
amzn.to/4syhPal 𝗕𝗘𝗡𝗘𝗙𝗜𝗧𝗦: Master the key concepts of supervised machine learning, including model capacity, the bias-variance tradeoff, generalization, and optimization -
Practical Guide to Building LLM and RAG Apps with LangChain
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"Generative AI and RAG for Beginners: A Practical Step-by-Step Guide to Building LLM and RAG Applications with LangChain and Python" Get your copy at http://
amzn.to/3MZZ9R5 Independently published: December 2025
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AI Agents and World Models: Research on Predictive Planning
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Can AI agents see into the future before acting? A team from UIUC, THU, JHU, and Columbia tested exactly that. They gave agents generative world models—external simulators that could predict outcomes before taking action. The result? Most agents refuse to simulate (under 1%
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Ways to Train an LLM
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Ways to Train an #LLM
by @goyalshaliniuk #GenAI #ArtificialIntelligence #MachineLearning #ML -
Architectural design of open-source AI libraries
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真没见过哪个开源 Repo，能把 18 个 use case 塞进去还没乱套。
— 艾略特 (@elliotchen100) 10 mai 2026
架构方法、Benchmark、Memory 模式，一库打尽。 https://t.co/9z2G8VxrSvI've never seen an open-source repo that can cram 18 use cases in without turning into a mess. Architecture methods, benchmarks, memory patterns—all covered by one library.
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Physics model explains AI learning mechanisms
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A simple physics-inspired model sheds light on how #AI learns
by @SissaMedialab @TechXplore_com Learn more: https://
bit.ly/4nufig1 #ArtificialIntelligence #MachineLearning #MI