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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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 🚀
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Data Exploration and Preparation with BigQuery Practical Guide
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Data Exploration and Preparation with BigQuery — Practical guide to cleaning, transforming, and analyzing data for business insights: amzn.to/4b0Ucz7 v/ @PacktDataML — 𝓚𝓮𝔂 𝓕𝓮𝓪𝓽𝓾𝓻𝓮𝓼: 🔵Leverage BigQuery to understand and prepare your data to ensure that it's accurate, reliable, and ready for analysis & modeling 🟠Use mock datasets to explore data with the BigQuery web UI, bq CLI, & BigQuery API in the Cloud console 🔵Master optimization techniques for storage & query performance in BigQuery 🟠Engage with case studies on data exploration and preparation for advertising, transportation, & customer support data 🔵Purchase of the print or Kindle book includes a free PDF eBook
→ View original post on X — @kirkdborne, 2026-04-06 05:28 UTC
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Data Engineering with Google Cloud Platform Guide Second Edition
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Data Engineering with Google Cloud Platform GCP — A Guide to leveling up as a Data Engineer by building a scalable data platform with Google Cloud: amzn.to/4ecMUtM [2nd Edition] v/ @PacktDataML ———— #Analytics #CDO #CTO #AI #ML #MLOps #DataScience
→ View original post on X — @kirkdborne, 2026-04-06 05:28 UTC
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Generative AI on Google Cloud with LangChain and Vertex AI
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Generative AI on Google Cloud with LangChain — Design scalable Generative AI solutions with Python, LangChain, and Vertex AI on Google Cloud: amzn.to/4frbkPA v/ @PacktDataML 𝓚𝓮𝔂 𝓕𝓮𝓪𝓽𝓾𝓻𝓮𝓼: 🔴Turn challenges into opportunities by learning advanced techniques for text generation, summarization, and question answering using LangChain and Google Cloud tools 🔵Solve real-world business problems with hands-on examples of GenAI applications on Google Cloud 🟡Learn repeatable design patterns for Gen AI on Google Cloud with a focus on architecture and AI ethics 🔴Build and implement GenAI agents and workflows, such as RAG and NL2SQL, using LangChain and Vertex AI 🔵Purchase of the print or Kindle book includes a free PDF eBook
→ View original post on X — @kirkdborne, 2026-04-06 05:27 UTC
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Machine Learning Architecture Handbook: Practical MLOps AI Strategies
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Machine Learning Solutions Architect Handbook — Practical Strategies and Best Practices in the ML Lifecycle, System Design, MLOps, and Generative AI: amzn.to/4bx8t6b v/ @PacktDataML [Translated from EN to English]
→ View original post on X — @kirkdborne, 2026-04-06 05:22 UTC
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Python Data Cleaning and Preparation Best Practices Guide
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Python Data Cleaning and Preparation Best Practices — Practical guide to organizing & handling data from various sources and formats using Python: http://
amzn.to/49wtptU v/ @PacktDataML 𝓚𝓮𝔂 𝓕𝓮𝓪𝓽𝓾𝓻𝓮𝓼: Maximize the value of your data through effective data cleaning