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
MACHINE LEARNING
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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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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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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