New release from @PacktDataML available at: http://
amzn.to/40Sp4O9 "Design Multi-Agent AI Systems Using MCP and A2A: Engineer your own Python-based Agentic AI Framework with tool use, memory, and multi-agent workflows" Table of Contents:
Introduction to Generative AI and AI
@kirkdborne
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New Technical Guide to Designing Multi-Agent AI Systems with MCP
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LLM Engineer’s Handbook for Model Development and Training
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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 -
Guide to Building Production-Ready AI Agent Systems
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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 -
Enhancing Generative AI Systems with RAG Integration
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Unlocking Data with #GenerativeAI and RAG — Enhance Generative AI systems by integrating internal data with large language models using RAG: http://
amzn.to/3PtFHdv v/ @PacktDataML -
Practical Guide to Building AI Agents with LLMs and RAG
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"Building AI Agents with LLMs, RAG, and Knowledge Graphs — A practical guide to autonomous and modern AI agents" See it at http://
amzn.to/4622k2h via @PacktDataML -
New Book on Machine Learning and Deep Learning for Tabular Data
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Excellent book from @ManningBooks >> #MachineLearning for Tabular Data: XGBoost, Deep Learning, and AI, by @MarkRyanMkm & @lucamassaron Get it here: http://
amzn.to/41J8WA6 • Master XGBoost
• Apply deep learning to tabular data
• Deploy models locally and in the cloud
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Introduction to Neural Networks Educational Resource
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Download 242-page PDF “Introduction to Neural Networks” https://
dkriesel.com/en/science/neu
ral_networks
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#DataScience #AI #Algorithms #ML #MachineLearning #DeepLearning #Mathematics #Calculus #DataScientist -
New Book on AI Systems Performance Engineering and GPU Optimization
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HOT! Over 1000 pages! "AI Systems Performance Engineering — Optimizing Model Training and Inference Workloads with GPUs, CUDA, and PyTorch" Get it at http://
amzn.to/4pRunYJ via @OReillyMedia -
Mathematical Theory of Deep Learning PDF and Book Update
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Mathematical Theory of Deep Learning [download 333-page PDF]: http://
arxiv.org/abs/2407.18384 *UPDATED*
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See also this book: http://
amzn.to/3BqaW5e
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#AI #DataScience #ML #MachineLearning #DataScientist #Mathematics #Algorithms -
Artificial Intelligence for Cybersecurity Technical Overview
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Artificial Intelligence for Cybersecurity: http://
amzn.to/4gOK3rD v/ @PacktDataML ——
#AI #MachineLearning —— 𝒦𝑒𝓎 𝐹𝑒𝒶𝓉𝓊𝓇𝑒𝓈: Learn AI methods and see how they fit into cybersecurity Learn how to design solutions in cybersecurity that include AI as a key feature