Download 674-page PDF >> Introduction to Machine Learning (textbook on foundations, algorithms, and techniques): arxiv.org/abs/2409.02668 ———— #ML #AI #Mathematics #DataScience
→ View original post on X — @kirkdborne, 2026-04-06 05:50 UTC
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AI Predicts Japan Cherry Blossoms Bloom Date
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When Will Japan’s Cherry Blossoms Bloom? #AI Can Help Answer That by @HernandezJavier @hudidi1 @nytimes Learn more: bit.ly/3NTsXQi #MachineLearning #ArtificialIntelligence #ML #MI
→ View original post on X — @ronald_vanloon, 2026-04-06 05:50 UTC
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LangChain 2nd Edition: Build Production-Ready Agentic AI Applications
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The 2nd Edition of this book has arrived, with Agentic AI updates: "Generative AI with LangChain — Build Production-ready LLM Applications and Advanced Agents using Python and LangGraph" at amzn.to/3JEeS6K v/ @PacktDataML 𝓦𝓱𝓪𝓽 𝓨𝓸𝓾 𝓦𝓲𝓵𝓵 𝓛𝓮𝓪𝓻𝓷: 🟠Design and implement multi-agent systems using LangGraph 🟠Implement testing strategies that identify issues before deployment 🟠Deploy observability and monitoring solutions for production environments 🟠Build agentic RAG systems with re-ranking capabilities 🟠Architect scalable, production-ready AI agents using LangGraph and MCP 🟠Work with the latest LLMs and providers like Google Gemini, Anthropic, Mistral, DeepSeek, and OpenAI's o3-mini 🟠Design secure, compliant AI systems aligned with modern ethical practices
→ View original post on X — @kirkdborne, 2026-04-06 05:47 UTC
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Generative AI and RAG for Beginners: LLM Applications Guide
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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 amzn.to/3MZZ9R5 Independently published: December 2025 Print length: 255 pages
→ View original post on X — @kirkdborne, 2026-04-06 05:46 UTC
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LangChain Crash Course: Build OpenAI LLM Apps with Python
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LangChain Crash Course — Fast track to building OpenAI LLM-powered Apps using Python: amzn.to/3TFlQJT ————— #LLMs #AI #ML #MachineLearning #LLMOps #DataScience #DataScientist
→ View original post on X — @kirkdborne, 2026-04-06 05:46 UTC
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Game Theory Book: Strategies, Nash Equilibria, and Behavioral Economics
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Fascinating reading on Game Theory: amzn.to/2T70A1y 💥🏆 "A Nontechnical Intro to the Analysis of Strategy" (3rd Ed.), covers N-person strategies, Nash Equilibria, auctions, bargaining, dominant strategies, Gamification, Behavioral Economics, Experimental Economics, etc.
→ View original post on X — @kirkdborne, 2026-04-06 05:44 UTC
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Deep Reinforcement Learning Hands-On Guide Third Edition Released
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Deep Reinforcement Learning Hands-On — Practical easy-to-follow guide to RL from Q-learning and DQNs to PPO and RLHF: amzn.to/3MV9o60 [3rd Ed.] —— #AI #MachineLearning #ML #DataScience —— 𝓚𝓮𝔂 𝓕𝓮𝓪𝓽𝓾𝓻𝓮𝓼: 🟢Learn with concise explanations, modern libraries, and diverse applications from games to stock trading and web navigation 🔵Speed up RL models using algorithmic and engineering approaches 🟠Learn about human feedback (RLHF), MuZero, and transformers
→ View original post on X — @kirkdborne, 2026-04-06 05:43 UTC
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Graph Machine Learning 2nd Edition: PyTorch Geometric and DGL Techniques
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Graph Machine Learning — Latest advancements in Graph Data to build robust Machine Learning algorithms (2nd Edition) — at amzn.to/45Y3LyI v/ @PacktDataML 𝓚𝓮𝔂 𝓕𝓮𝓪𝓽𝓾𝓻𝓮𝓼: 🟠Master new graph ML techniques through updated examples using PyTorch Geometric and Deep Graph Library (DGL) 🔵Explore GML frameworks and their main characteristics 🟠Leverage LLMs for machine learning on graphs and learn about temporal learning 🔵Purchase of the print or Kindle book includes a free PDF eBook
→ View original post on X — @kirkdborne, 2026-04-06 05:34 UTC
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PentAGI: Autonomous AI System for Open-Source Security Testing
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🚨 BREAKING: Someone just open-sourced a fully autonomous AI RED TEAM.
— How To AI (@HowToAI_) 6 avril 2026
It's called PentAGI. A autonomous AI system that coordinates hacking attacks with zero human input.
One agent does recon, another exploits, and another writes the final report based on what they find.
100%… pic.twitter.com/qF6MjSeDe1🚨 BREAKING: Someone just open-sourced a fully autonomous AI RED TEAM. It's called PentAGI. An autonomous AI system that coordinates hacking attacks with zero human input. One agent does recon, another exploits, and another writes the final report based on what they find. 100% Open Source. [Translated from EN to English]
→ View original post on X — @scobleizer, 2026-04-06 05:32 UTC
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Agent Swarms: The Future of Collaborative AI Development
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The future is not a single agent doing a thing….. It’s an agent swarm working together like a TEAM OF EXPERTS – vibe coding agents to build systems – a testing and a monitoring agent to test in production – an SRE that ensures that the system is reliable – a debugging agent to fix bugs on a ongoing basis A master agent that controls the entire system Super excited for these Agent Swarms 🚀