Nice! This should work well with @MintMCP_AI
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AI Systems Performance Engineering with GPUs CUDA PyTorch
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HOT! Over 1000 pages! "AI Systems Performance Engineering — Optimizing Model Training and Inference Workloads with GPUs, CUDA, and PyTorch" Get it at http://
amzn.to/4pRunYJ -
New Book: Deep Learning Math Workbook with 300 Exercises
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From @PacktDataML — hands-on Mathematics, Linear Algebra, and Machine Learning … "Deep Learning Math Workbook", with 300 puzzles — by @ProfTomYeh Check it out and get it here:
http://amzn.to/3KuhKnx -
Essential Probability and Statistics for Data Science and Machine Learning
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Probability and Statistics Essentials for #DataScience and #MachineLearning, with 200+ examples and pictures [Kindle Edition]: http://
amzn.to/43a7tmo -
Databricks Data Engineering Books from Packt Publishing
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Databricks Data Engineering books from @PacktDataML 1–Cookbook: http://
amzn.to/3xbt6Gc 2–Modern Data Applications: http://
amzn.to/3DbYgQF 3–Machine Learning: http://
amzn.to/3XH24ld 4–Certified Developer for Apache Spark with Python: http://
amzn.to/4fQigH8 -
Machine Learning Refined: Foundations, Algorithms, and Applications
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#MachineLearning Refined — Foundations, Algorithms, and Applications (with 100 in-depth coding exercises in Python): https://
amzn.to/3EblXVx
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#DataScience #ML #AI #Mathematics #DataScientist -
Sebastian’s Scratch Series: Practical LLM Distillation Methods
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Sebastian's "from scratch" series keeps delivering. Hard distillation that works with any LLM is exactly the kind of practical resource people need right now.
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Building Visualizers: An Untapped Way to Learn Codebases
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Untapped Way to Learn a Codebase: Build a Visualizer https://
bit.ly/4bbhd39
#AI #MachineLearning #DeepLearning #LLMs #DataScience -
Cursor AI coding startup seeks $50 billion valuation funding
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👀 scoop w/ @RebeccaTorrenc5 and @nmasc_ 👀 Cursor, a leading artificial intelligence startup for coding, is in talks with investors for a funding round that would value the startup at about $50 billion bloomberg.com/news/articles/…
→ View original post on X — @rachelmetz, 2026-03-12 00:24 UTC