Evaluating AI Agents — Bootcamp on June 27 hosted by @PacktPublishing @PacktDataML — register with my discount code 'KIRK50' at this link to save: https://
eventbrite.co.uk/e/evaluating-a
i-agents-bootcamp-tickets-1990306501323?aff=kirk
… Participants will be guided through the fundamentals of Evaluating AI Agents, covering: Why modern agents
@kirkdborne
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AI Agents Evaluation Bootcamp on June 27 with Discount
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17 hidden Claude features from AnatoliKopadze’s post
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17 Claude features most people will never find on their own.
— Kirk Borne (@KirkDBorne) 5 juin 2026
From post by @AnatoliKopadze … https://t.co/A8oZHuhZPN17 Claude features most people will never find on their own. From post by @AnatoliKopadze …
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New book on architecting GenAI applications with LLMOps best practices
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Highly rated new book from @PacktPublishing @PacktDataML … "Architecting Generative AI Applications: Build, deploy, and scale production-ready GenAI systems with LLMOps best practices" See it at http://
amzn.to/3Pv4dyF -
New book ‘Time Series with PyTorch’ from Packt Publishing
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NEW book from @PacktPublishing @PacktDataML … "Time Series with PyTorch: Modern Deep Learning Toolkit for Real-World Forecasting Challenges", available at http://
amzn.to/4dIuem4 -
AI Hallucinations: Funny but Worrisome in Interviews
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"When you confidently walk into the interview after doing all of your company research on ChatGPT." AI / ChatGPT / LLM hallucinations are sometimes funny and almost always worrisome! Source: @pascal_bornet at https://
linkedin.com/posts/pascalbo
rnet_aireadiness-humics-digitalworkplace-share-7468225061045456896-7Wya/
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LinkedIn AI Problem: Peacocks, AI-Slop, and Author’s Assessment
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What do AI, peacocks, and LinkedIn have in common? Read and see: https://
medium.com/@RPauloDelgado
/linkedin-has-an-ai-problem-and-people-are-noticing-cade7a7b65fd
… Do you agree with the author’s assessment? Have you experienced AI-slop yourself? -
Positive endorsement of ’50 ML Projects to Understand LLMs’ book
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Here is my editorial endorsement: This book perfectly reflects its title "50 ML Projects to Understand LLMs". The entire book consists of exactly that: 50 projects, with tasks and subtasks pleasantly outlined, explained, and presented in a beautifully instructive and consistent
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Book: Machine Learning for Tabular Data by Mark Ryan and Luca Massaron
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Excellent book from @ManningBooks >> "Machine Learning for Tabular Data: XGBoost, Deep Learning, and AI," by @MarkRyanMkm & @lucamassaron Get it here: https://
amzn.to/41J8WA6 • Master XGBoost
• Apply deep learning to tabular data
• Deploy models locally and in the cloud
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AI Programming with Python: From Zero to Hero covering ML and DL
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AI Programming with Python — From Zero to Hero: https://
amzn.to/43TkNea Thorough introductions to #AI, #MachineLearning, and #DeepLearning Hands-on introductions to #Python Discussions of supervised and unsupervised learning Explorations of classification and -
Data Without Labels: Unsupervised Machine Learning Fundamentals and Data Cleaning
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Data Without Labels — Models and Algorithms for Practical Unsupervised #MachineLearning: https://
amzn.to/4q5bbYz 𝓦𝓱𝓪𝓽 𝓨𝓸𝓾 𝓦𝓲𝓵𝓵 𝓛𝓮𝓪𝓻𝓷: Fundamental building blocks and concepts of machine learning and unsupervised learning
Data cleaning for structured and