Free 505-page PDF textbook — “Foundations of Machine Learning” Download at the @MIT_CSAIL link below…
@kirkdborne
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Scientific Discovery Evaluation Distinguishes LLM Plausibility From Truth
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Evaluating Large Language Models in Scientific Discovery: http://
arxiv.org/abs/2512.15567 Excellent review of this research paper below, from @alex_prompter To me, the most significant summary statement is this: “LLMs optimize for plausibility, not truth.” That’s so perfectly -
Graph Machine Learning Book Uses PyTorch Geometric and DGL
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2nd Edition at http://
amzn.to/45Y3LyI Graph Machine Learning — the latest advancements in graph data to build robust machine learning algorithms. 𝓚𝓮𝔂 𝓕𝓮𝓪𝓽𝓾𝓻𝓮𝓼: Master new graph ML techniques through updated examples using PyTorch Geometric and Deep Graph Library -
A Practical Guide to Building a Large Language Model From Scratch
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Build a Large Language Model (From Scratch): http://
amzn.to/3WYFNO5 by @rasbt v/ @ManningBooks #DataScience #DataScientist #MachineLearning #ML #LLMs #AI #GenAI -
Build a Text-to-Image Generator With Transformers and Diffusion
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Build a Text-to-Image Generator (from Scratch), with transformers and diffusions: http://
amzn.to/3MFbyK4 by @mark_h_liu v/ @ManningBooks -
AI Agents in Action Covers Agent Patterns and Production Deployments
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AI Agents in Action: http://
amzn.to/44kbHsL v/ @ManningBooks Gain hands-on experience in these areas: Understand & implement AI agent behavior patterns Design & deploy production-ready intelligent agents Leverage the OpenAI Assistants API and complementary tools -
Textbook Covers Causal AI and Bayesian Networks
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Causal AI and Bayesian Networks (680-page PDF eBook): http://
web4.cs.ucl.ac.uk/staff/D.Barber
/textbook/240415.pdf
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Get a print copy here: https://
amzn.to/4t1aLTC
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#DataScience #Statistics #ML #MachineLearning #Causality #PredictiveAnalytics #DataScientist -
An AI-Augmented Textbook Concept
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[PDF] Towards an AI-Augmented Textbook: http://
arxiv.org/abs/2509.13348 -
Graph Neural Networks Primer for Machine Learning Engineers
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Introduction to Graph Neural Networks — A Starting Point for Machine Learning Engineers: http://
arxiv.org/abs/2412.19419 [49-page PDF] #AI #ML #DeepLearning #DataScience #DataScientist -
Understanding Deep Learning Includes 68 Python Coding Exercises
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Understanding Deep Learning — 541-page PDF eBook and 68 coding exercises with Python code notebooks that cover all the topics in the book: http://
udlbook.github.io/udlbook/ …or buy the book here: http://
amzn.to/4qwof9k