30 Agents Every AI Engineer Must Build — Build production-ready agent systems using proven architectures and patterns: http://
amzn.to/41ckg6z v/ @PacktDataML —
What you will learn:
Deploy production-ready agent systems that scale securely and reliably
Use LangChain and
@kirkdborne
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Agent Engineering Guide Covers Secure and Reliable Production Deployment
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Agent Engineering Guide Covers Secure and Reliable Production Deployment
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30 Agents Every AI Engineer Must Build — Build production-ready agent systems using proven architectures and patterns: http://
amzn.to/41ckg6z v/ @PacktDataML —
What you will learn:
Deploy production-ready agent systems that scale securely and reliably
Use LangChain and -
AI and Data Science Guide Develops Enterprise Analytical Skills
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Analytical Skills for AI and Data Science — Building Skills for an AI-Driven Enterprise: http://
amzn.to/4b6fufu …helps practitioners to create value from AI and data science using an analytical skillset — each chapter illustrates how each skill works across a collection of use -
Transfer Learning Helps Models Adapt to New Tasks and Environments
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TRANSFER LEARNING book [390 pages]: http://
amzn.to/3R4G0zm Amazon Summary:
"Transfer learning deals with how systems can quickly adapt themselves to new situations, tasks and environments. It gives machine learning systems the ability to leverage auxiliary data and models to -
AI Optimization Guide Covers Enterprise Adoption and Responsible Innovation
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Hot "The AI Optimization Playbook: Drive business success with proven AI strategies, best practices, and responsible innovation" See it at http://
amzn.to/45CtY4L 𝗧𝗮𝗯𝗹𝗲 𝗼𝗳 𝗖𝗼𝗻𝘁𝗲𝗻𝘁𝘀:
Understanding the Perils of AI Products
Building the Enterprise AI -
Enterprise AI Productivity Guide Describes Roles, Workflows and Organizational Design
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Enterprise AI Productivity: Success Beyond the Hype See it here: http://
amzn.to/4p77tgR by @SelimMimaroglu See real-world examples and a chapter-by-chapter breakdown of roles, responsibilities, and workflows in these areas of enterprise AI:
AI Organizational Design
From -
Mathematics of Machine Learning Textbook Provides Companion Open Code
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Get "Mathematics of Machine Learning" here: http://
amzn.to/4eN7i52 by @TivadarDanka —
GitHub: http://
github.com/cosmic-cortex/
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My review: 𝗧𝗵𝗲 𝗦𝗲𝘁 𝗢𝗳 𝗠𝗮𝘁𝗵𝗲𝗺𝗮𝘁𝗶𝗰𝗮𝗹 𝗔𝗹𝗴𝗼𝗿𝗶𝘁𝗵𝗺𝘀 𝗧𝗵𝗮𝘁 𝗟𝗲𝗮𝗿𝗻 𝗙𝗿𝗼𝗺 𝗘𝘅𝗽𝗲𝗿𝗶𝗲𝗻𝗰𝗲 This massive book is -
A Python Guide Introduces Mathematical Foundations for AI
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Basic Mathematical Foundations of AI — Hands on with Python: http://
amzn.to/4c0w6pz #Mathematics #MachineLearning #DataScience #DataScientist -
Sutskever’s Reading List Collects Foundational Deep Learning Papers
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JUST PUBLISHED! >> "Sutskever's List" Read about it: https://
github.com/dzyim/ilya-sut
skever-recommended-reading
… — Ilya Sutskever compiled this reading list of ~30 Deep Learning research papers and said, "If you really learn all of these, you’ll know 90% of what matters today." Then read it: -
A Cyber Threat Hunting Guide Uses AI and Behavioral Analytics
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Advanced Cyber Threat Intelligence and Hunting — Detect APTs and zero-day attacks using CTI, behavioral analytics, and AI techniques: https://
amzn.to/4w9hDzl