We are hosting the first ever Agent Skills Workshop at CAIS 2026. Submit your cool papers and demos. If you don't know what CAIS is. You are missing out. It's gonna be one of the most high signal conference in the bay this year. What's more: @swyx's @aiDotEngineer world fair is partnering with it. Its committee: @gneubig @ChenLingjiao @JeffDean @lateinteraction @MonicaSLam @lmthang @pirroh @ChrisGPotts @NaveenGRao @dawnsongtweets and @istoica05
EDUCATION
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Python Machine Learning By Example Third Edition Book Release
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Python Machine Learning By Example: http://
amzn.to/3MczBwk v/ @PacktDataML +
GitHub: https://
github.com/PacktPublishin
g/Python-Machine-Learning-By-Example-Third-Edition
… 518-pages! What you will learn: Machine learning best practices throughout data preparation and model development Build and improve image classifiers using -
Stanford’s Free AI Course: Transformers and Large Language Models
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If you’re serious about AI, this is worth your attention. Stanford has just released its course CME 295: Transformers & Large Language Models in full on YouTube. What stands out to me is the level of clarity and structure. This isn’t another surface-level overview. It’s the actual curriculum used to teach how modern AI systems work. This will help you move from using AI to understanding it. 📚 𝗧𝗼𝗽𝗶𝗰𝘀 𝗰𝗼𝘃𝗲𝗿𝗲𝗱 𝗶𝗻𝗰𝗹𝘂𝗱𝗲: • How Transformers actually work (tokenization, attention, embeddings) • Decoding strategies & MoEs • LLM finetuning (LoRA, RLHF, supervised) • Evaluation techniques (LLM-as-a-judge) • Optimization tricks (RoPE, quantization, approximations) • Reasoning & scaling • Agentic workflows (RAG, tool calling) 🎥 Watch these now: – Lecture 1: zurl.co/F0QR5 – Lecture 2: zurl.co/hG5lp – Lecture 3: zurl.co/PnKrW – Lecture 4: zurl.co/XCZoE – Lecture 5: zurl.co/GWlYI – Lecture 6: zurl.co/zGqqQ – Lecture 7: zurl.co/T06NM – Lecture 8: zurl.co/Un42q – Lecture 9: zurl.co/rR3YL For 2026, consider setting aside 2–3 hours each week to go through these lectures. If you’re working in AI whether on infrastructure, agents, or applications, this is a foundational resource worth your time. It’s a simple way to build depth where it matters most. #AI #LLMs #Transformers #Stanford #GenAI
→ View original post on X — @pascal_bornet, 2026-04-03 05:00 UTC
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50 Essential Algorithms for Every Programmer to Learn
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50 Algorithms Every Programmer Should Know: http://
amzn.to/3Mi1hAk v/ @PacktDataML #DataScientist #DataScience #Mathematics #MachineLearning #ML #ComputerScience #ComputationalScience -
Sakana AI Summer Internship Recruitment Business Project Manager
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【To MBA Students】Summer Internship Recruitment 🐟️ Sakana AI is recruiting interns for a business role (Project Manager) position. We are seeking individuals who can collaborate with engineers and researchers at the forefront of cutting-edge AI research and development, and jointly lead social implementation in the Japanese and global markets. ■ Recruitment Overview Main Responsibilities: Solving business challenges using AI, building strategic partnerships, planning and executing Go-To-Market strategies Application Requirements: Ability to commute to our Azabudai Hills office ※ We also welcome those who can work only during summer break ■ Application Method For details about the Project Manager position, please check the careers page below 👇️ sakana.ai/careers/#business-… Applications are accepted through the Google Form at the top of the careers page. Please select 'Business Role (Internship)' in the "Position" field of the Google Form to apply. How can we deliver AI technology that makes the world better to society? We look forward to applications from those who can work with us to shape this strategy 🚀 [Translated from EN to English]
→ View original post on X — @sakanaailabs, 2026-04-03 04:20 UTC
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Python for Data Science: Hands-On Introduction Book
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Python for Data Science — A Hands-On Introduction: http://
amzn.to/44LcjEA
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#DataScience #AI #ML #MachineLearning #DataScientist -
Bayesian Data Analysis and Probabilistic Modeling in Python
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Bayesian Data Analysis [download 677-page PDF Statistics eBook] at http://
sites.stat.columbia.edu/gelman/book/
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Do it in Pythonusing this Practical Guide to Probabilistic Modeling: http://
amzn.to/3w3tq9g —————
#DataScience #DataScientist #MachineLearning #ML #Inference #StatisticalLearning -
50 Machine Learning Projects to Understand Large Language Models
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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 Machine Learning Foundations Book: Supervised Learning Concepts
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New Release! "Machine Learning Foundations, Volume 1: Supervised Learning" – available at http://
amzn.to/4syhPal Benefits: Master the key concepts of supervised machine learning, including model capacity, the bias-variance tradeoff, generalization, and optimization techniques