New release from @PacktDataML available at https://
amzn.to/3PMn1ZL A Practical Guide to Reinforcement Learning from Human Feedback: Foundations, aligning large language models, and the evolution of preference-based methods
@kirkdborne
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Reinforcement Learning from Human Feedback: LLM Alignment Guide
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Dialogue on Measuring AI’s Real-World Impact with Reva Schwartz
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A dialogue with Reva Schwartz on Measuring AI’s Real-World Impact: https://
odbms.org/2026/03/beyond
-the-benchmark-reva-schwartz-on-measuring-ais-real-world-impact/
… by @odbmsorg -
New Machine Learning Foundations Book Released on Supervised Learning
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New Release! "Machine Learning Foundations, Volume 1: Supervised Learning" – available at https://
amzn.to/4syhPal Benefits: Master the key concepts of supervised machine learning, including model capacity, the bias-variance tradeoff, generalization, and optimization techniques -
AI Data Security: Organizations Face Sensitive Data Exposure Risks
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𝗦𝗰𝗮𝗿𝘆 𝘀𝘁𝗮𝘁𝘀: 90% of organizations have sensitive data surfaceable by AI. 46% of all breaches involve customer PII. 40% involve employee PII. 𝗛𝗲𝗹𝗽 𝗶𝘀 𝗵𝗲𝗿𝗲: @Commvault Extends Enterprise Resilience to Structured & AI Data with Real-Time Governance Controls.
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Mastering Sophisticated AI Agents: Practical Developer Guide
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…472 pages of “practical advice designed to help developers master the art of building sophisticated AI agents. As artificial intelligence evolves from simple reactive programs to autonomous entities capable of understanding context and making complex decisions, this book
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AI Hackathons with Auth0 and $10K Prize Pool
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AI Hackathons, hosted by @Devpost Authorized to Act: Auth0 for AI Agents by Okta PRIZES: $10,000 in cash DEADLINE: Apr 7, 2026 Build an agentic AI application using Auth0 for AI Agents Token Vault JOIN THE HACKATHON: https://
bit.ly/auth026i ZerveHack by Zerve AI -
50 ML Projects to Understand LLM Transformer Mechanisms
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50 ML projects to understand LLMs — Investigate transformer mechanisms through data analysis, visualization, and experimentation: http://
amzn.to/4aPfP7q
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#AI #GenAI #MachineLearning #DataScientist #DataScience -
New Packt Release on Agentic Architectural Patterns for Multi-Agent Systems
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New release from @PacktDataML at http://
amzn.to/3MaHy8T "Agentic Architectural Patterns for Building Multi-Agent Systems: Proven design patterns and practices for GenAI, agents, RAG, LLMOps, and enterprise-scale AI systems" Contents:
GenAI in the Enterprise: Landscape, -
Mathematical Methods in Data Science: Theory and Python Applications
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Mathematical Methods in Data Science — Bridging Theory and Applications with Python: http://
amzn.to/4b7ZYQ4
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#ML #MachineLearning #DataScientist #DataScience #Mathematics #Algorithms -
Machine Learning Loss Functions: Comprehensive Guide and Review
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Machine Learning loss functions – infographic Loss Functions in ML Explained: https://
datacamp.com/tutorial/loss-
function-in-machine-learning
… Comprehensive Review of Loss Functions in Deep Learning: https://
arxiv.org/pdf/2504.04242
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#AI #DataScience #DataScientist #Mathematics