Learn Model Context Protocol [MCP] with Python โ Build Agentic Systems in Python with the new standard for AI Capabilities: https://
amzn.to/4njfsVM by @chris_noring v/ @PacktDataML ๐ฆ๐ฑ๐ช๐ฝ ๐จ๐ธ๐พ ๐ฆ๐ฒ๐ต๐ต ๐๐ฎ๐ช๐ป๐ท:
Understand the MCP protocol and its core components
@kirkdborne
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Learning the Model Context Protocol for Building AI Agentic Systems
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Scikit-learn Cookbook: 80+ Recipes for Machine Learning in Python
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Scikit-learn Cookbook โ 80+ recipes for #MachineLearning in Python with scikit-learn [3rd Edition]: http://
amzn.to/4oDGOq7 v/ @PacktDataML ๐๐ธ๐ท๐ฝ๐ฎ๐ท๐ฝ๐ผ:
Common Conventions & API Elements of Scikit-Learn
Pre-Model Workflow and Data Preprocessing
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Learning Model Context Protocol for Building Agentic Systems in TypeScript
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From @chris_noring and @PacktDataML … "Learn Model Context Protocol [MCP] with TypeScript: Build Agentic Systems in TypeScript with the new standard for AI capabilities" at http://
amzn.to/48W6Izu TypeScript explained and why & when to use it: https://
contentful.com/blog/what-is-t
ypescript-and-why-should-you-use-it/
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Practical Guide to Building AI Agents with LLMs and RAG
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"Building AI Agents with LLMs, RAG, and Knowledge Graphs โ A practical guide to autonomous and modern AI agents" See it at http://
amzn.to/4622k2h via @PacktDataML -
Book on Building LLM-Powered Applications with Neo4j
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Build Neo4j-Powered Applications with LLMs Available at http://
amzn.to/4l9lLKO This LLM book is for database developers and data scientists who want to leverage knowledge graphs with Neo4j and its vector search capabilities to build intelligent search and recommendation -
Vector Search for Practitioners and AI Solutions
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Vector Search for Practitioners with Elastic โ A toolkit for building #NLProc solutions for search, observability, and security: http://
amzn.to/3vEkWFe v/ @PacktDataML What you will learn:
Optimize performance by harnessing the capabilities of vector search
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9 Distance Metrics for Machine Learning and Data Science
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9 Distance Metrics used in #DataScience and #MachineLearning (advantages & pitfalls): https://
maartengrootendorst.com/blog/distances/
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#AI #ML #Statistics #Mathematics #DataScientist #Algorithms
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See 730+ page book "Encyclopedia of Distances" (3rd edition): http://
amzn.to/3skDOWm -
New Edition of Transformers and Generative AI Technical Guide
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Very impressive! >> "Transformers for #NLProc and #ComputerVision: Explore #GenerativeAI and Large Language Models #LLMs with Hugging Face, GPT-4V, DALL-E 3,…" [3rd Edition] http://
amzn.to/3TkBknI
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Huge, 728 pages of #AI #DeepLearning #MachineLearning #DataScience joy! -
The Definitive Guide to Microsoft Fabric Data Platform
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The Definitive Guide to Microsoft Fabric โ From discovery to building a unified, secure, and scalable data platform: http://
amzn.to/3MdE1Xk v/ @PacktDataML Table of Contents: Getting started with Fabric From Lakehouse to First Analysis Unifying Data in OneLake -
The Kaggle Book: Master Data Science Competitions with Machine Learning
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The Kaggle Book โ Master Data Analysis and #DataScience Competitions with #MachineLearning, GenAI, and LLMs [2nd Edition]: http://
amzn.to/4pxJpTC v/ @PacktDataML Table of Contents: Introducing Data Science Competition Organizing Data with Datasets Work & Learn with