Artificial Intelligence of Things AIoT book → “Hands-On AI for IoT” — Expert Machine Learning & Deep Learning techniques for developing smarter IoT systems [2nd Ed.]: http://
amzn.to/3YAu6hS 𝓚𝓮𝔂 𝓕𝓮𝓪𝓽𝓾𝓻𝓮𝓼:
Leverage the power of Python libraries such as TensorFlow
TOOLS
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Announcing Hands-On AI for IoT 2nd Edition book
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New book: 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 via @OReillyMedia -
Machine Learning Refined: Foundations, Algorithms, Applications with Python
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Machine Learning Refined — Foundations, Algorithms, and Applications (with 100 in-depth coding exercises in Python): http://
amzn.to/3EblXVx
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#DataScience #ML #AI #Mathematics #DataScientist -
AI Math Foundations: Hands-on Python Book
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Basic Mathematical Foundations of AI — Hands on with Python: http://
amzn.to/4c0w6pz -
Master Supervised Learning Concepts with “Machine Learning Foundations, Volume 1”
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"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 techniques Implement -
Open Source Deep Research for Agent Harnesses with AI-Q Skills
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Say hello to open source deep research for your favorite agent harness.
— NVIDIA AI (@NVIDIAAI) 22 mai 2026
Our AI-Q agent skill packages the work of building a research pipeline into a portable skill. Drop it into your harness, and the agent delegates a research task to a local or hosted AI-Q server and gets back… pic.twitter.com/u7tVWvCUWdSay hello to open source deep research for your favorite agent harness. Our AI-Q agent skill packages the work of building a research pipeline into a portable skill. Drop it into your harness, and the agent delegates a research task to a local or hosted AI-Q server and gets back
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Check out the new Airtable agent platform by @howietl and the team!
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when @howietl and the great minds behind @airtable ship a new agent platform, you don't scroll past. Test it out here → https://
hyperagent.com -
Autonomous AI Partner for Data Pipelines in Lakeflow
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🧞 Genie Code brings an autonomous AI partner directly into Lakeflow, helping data engineers build, orchestrate, monitor, and debug pipelines and jobs from a single agent experience.
— Databricks (@databricks) 22 mai 2026
With natural language, teams can:
• Generate production-ready pipelines and orchestrate jobs
•… pic.twitter.com/9zy2S2yvOrGenie Code brings an autonomous AI partner directly into Lakeflow, helping data engineers build, orchestrate, monitor, and debug pipelines and jobs from a single agent experience. With natural language, teams can:
• Generate production-ready pipelines and orchestrate jobs
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Hyperagent simplifies AI agents with cloud sessions and Slack deployment
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The team that made databases feel easy just did the same thing for AI agents.
— Chubby♨️ (@kimmonismus) 22 mai 2026
Hyperagent gives you a full cloud environment per session, browser, shell, code execution, integrations, no local setup. You build an agent, deploy it to Slack, and it runs your workflows while you do… https://t.co/xJdnlMYoXzThe team that made databases feel easy just did the same thing for AI agents. Hyperagent gives you a full cloud environment per session, browser, shell, code execution, integrations, no local setup. You build an agent, deploy it to Slack, and it runs your workflows while you do
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Replacing IDE with AI Code Editor Codex App
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realisation: I haven't opened an IDE in more than a month, diff view + file viewer in the codex app is more than sufficient one app to rule them all!