2nd Edition, 746 pages, massive! Modern #ComputerVision with #PyTorch #DeepLearning — from practical fundamentals to advanced applications and #GenerativeAI: http://
amzn.to/3xAkB7X v/ @PacktDataML ——
#DataScience #MachineLearning #AI #ML #GenAI #DataScientist
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Modern Computer Vision with PyTorch Deep Learning Second Edition
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Modern Time Series Forecasting with Python ML and Deep Learning
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Modern #TimeSeries #Forecasting with #Python — Industry-ready #MachineLearning and #DeepLearning time series analysis with PyTorch and PANDAS: http://
amzn.to/4eP5yYt via @PacktDataML 𝓚𝓮𝔂 𝓕𝓮𝓪𝓽𝓾𝓻𝓮𝓼: Apply ML and global models to improve forecasting accuracy through -
Graph Machine Learning 2nd Edition: PyTorch Examples Released
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2nd Edition — New release! Order now 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 -
Databricks Data Engineering Books from Packt Data ML
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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://
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AI Agents in Action: Hands-On Implementation Guide Released
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Get this recent release from @ManningBooks >> “AI Agents in Action” at http://
amzn.to/44kbHsL Take a look inside the book here: https://
manning.com/books/ai-agent
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… Gain hands-on experience in these areas: Understand and implement AI agent behavior patterns
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Measuring AI Model Improvements Through Expert-Evaluated Tasks
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I only say partially since we can measure the impact of AI improvement more directly on meaningful tasks: better coding, fewer hallucinations in summarizing a complex medical case, etc. In these situations, experts can see meaningful small differences among models as they improve
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Optimizing LLM-Assisted Coding Workflows and Best Practices
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Continuing the journey of optimal LLM-assisted coding experience. In particular, I find that instead of narrowing in on a perfect one thing my usage is increasingly diversifying across a few workflows that I "stitch up" the pros/cons of: Personally the bread & butter (~75%?) of
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Speech and Language Processing August 2025 Release Available
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Now that school is starting for lots of folks, it's time for a new release of Speech and Language Processing! Jim and I added all sorts of material for the August 2025 release! With slides to match! Check it out here: web.stanford.edu/~jurafsky/s…
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Modular skeleton architecture for parallel Claude environments
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I pitched something like it earlier this year but I think it's missing the "skeleton" onto which it would be easy to add new envs, in parallel and in common schema. Something all the claude codes can play in.
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Update Codex CLI to Latest Version 0.23.0
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Looks like you’re probably not on the latest version of Codex CLI (current is 0.23.0). Try upgrading with either brew or npm: ❯ brew update && brew upgrade codex
❯ npm i -g @openai/codex@latest