"Interpretable Machine Learning with Python: Build high-performance models with hands-on, real-world examples" (2nd Edition. 606 pages) Get it at http://
amzn.to/463U79Y #ML #DataScience #DataScientist
@kirkdborne
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A Python Guide Teaches Interpretable Machine Learning
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A Guide Builds Generative AI Models With Python and PyTorch
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Generative AI with Python and PyTorch: https://
amzn.to/4fYjiBn from @PacktDataML @PacktPublishing -
Machine Learning Design Patterns Cover Data Preparation and MLOps
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[Excellent Book] Machine Learning Design Patterns — Solutions to Common Challenges in Data Preparation, Model-Building, and MLOps: http://
amzn.to/2W7YSy0
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Deep Learning Textbook Covers Mathematical and Conceptual Foundations
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Comprehensive “Deep Learning” textbook Read individual chapters for free online: http://
deeplearningbook.org or buy the full 800-page masterpiece here: http://
amzn.to/3T6nKXx Amazon summary: “The text offers mathematical and conceptual background, covering relevant concepts in -
Illustrated AI Guide Uses Hands-On Examples and Graphics
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The Welch Labs Illustrated Guide to AI: https://
welchlabs.com/ai-book
…offers unique perspectives on artificial intelligence through hands-on exploration and richly detailed graphics that give readers a visceral understanding of how AI actually works. (376 pages) -
A Guide Explains the Mathematics of Transformers and Diffusion Models
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The Mathematics of Large Language Models — A Readable Guide to LLMs, Transformers, Diffusion, Neural Networks, and Generative AI: http://
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A Reference Compares Time Complexity Across Machine Learning Algorithms
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Time complexity of 10 popular Machine Learning algorithms Source: https://
linkedin.com/feed/update/ur
n:li:activity:7177764655308623872?utm_source=share&utm_medium=member_ios
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Ten YouTube Channels for Learning AI and Neural Networks
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10 YouTube channels for learning AI: 1) Andrej Karpathy – Deep yet accessible lectures on deep learning, LLMs, and an intro course on neural networks. http://
lnkd.in/dVA5bGyZ 2) 3Blue1Brown – Stunning visualizations that make abstract mathematical concepts intuitive. -
Everyone Is a Programmer Guide Covers Building Real Apps With AI
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New release from @PacktPublishing "Everyone is a Programmer" — battle-tested guide to building real apps with AI coding: http://
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Mindset & Philosophy: The Creator in the Age of AI
Front-End Design & AI Implementation -
A Guide Explains When to Choose Agents Over Coding Assistants
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Code Revealed — A practical guide to AI agents, workflows, and modern application practices: http://
amzn.to/45I2kCU 𝓦𝓱𝓪𝓽 𝓨𝓸𝓾 𝓦𝓲𝓵𝓵 𝓛𝓮𝓪𝓻𝓷:
Distinguish agents from simpler AI coding assistants
Assess tool fit using capability and autonomy criteria
Structure