2nd Edition, 746 pages, massive! Modern #ComputerVision with #PyTorch #DeepLearning — from practical fundamentals to advanced applications and #GenerativeAI: http://
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Modern Computer Vision with PyTorch Deep Learning Second Edition
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Handbook of Data Science and AI: Generate Value with Machine Learning
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The Handbook of #DataScience and #AI — Generate Value from Data with #MachineLearning and Data #Analytics: http://
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LLM Engineer’s Handbook: Master Large Language Models from Concept to Production
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LLM Engineer's Handbook — Master the art of engineering Large Language Models #LLMs from concept to production: http://
amzn.to/4dUQrv6 v/ @PacktDataML Implement robust data pipelines and manage LLM training cycles Create your own LLM and refine with the help of hands-on -
Machine Learning Solutions Architect Handbook: Practical Strategies and Best Practices
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#MachineLearning Solutions Architect Handbook — Practical Strategies and Best Practices in the #ML Lifecycle, System Design, #MLOps, and Generative AI: http://
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Free Mathematics Courses for Data Science on Udacity
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Learn #Mathematics for Data Science for FREE using these Courses: https://
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Math Poster: http://
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Competing in the Age of AI: Strategy and Leadership Guide
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"Competing in the Age of #AI: Strategy and Leadership When Algorithms and Networks Run the World" http://
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Building Intelligent Autonomous AI Agents with Advanced Techniques
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"Building Agentic AI Systems: Create intelligent, autonomous AI agents that can reason, plan, and adapt" at http://
amzn.to/4dvxf8Z v/ @PacktDataML 𝓚𝓮𝔂 𝓕𝓮𝓪𝓽𝓾𝓻𝓮𝓼: Understand the foundations and advanced techniques of building intelligent, autonomous AI agents -
Discovered Policy Optimisation: Lu et al. Research
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Discovered Policy Optimisation Lu et al.: https://
arxiv.org/abs/2210.05639 #ArtificialIntelligence #DeepLearning #MachineLearning -
The Shift Toward Agentic AI Workflows and Small Models
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TL;DR: Stop chasing size. The value is agentic AI = small models that plan, use tools, self-check, and work as a team. Proof > hype: JPM ~30% cost cuts; market $5.1B → $69B by 2032. Ship workflows, not weights. Use open-source + edge to slash cost. Build for dual-use where
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The Agent Stack: A New Architectural Standard for AI
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The agent stack (the new default): Reflection → the model critiques and fixes its own output Tool Use → APIs, code, search, databases; the model leverages the whole digital world Planning → break a goal into steps; execute and adapt Multi-Agent → specialists (researcher,