Get "Mathematics of Machine Learning" here: http://
amzn.to/4eN7i52 by @TivadarDanka v/ @PacktDataML โ
GitHub: http://
github.com/cosmic-cortex/
โ
Here is my review: ๐ง๐ต๐ฒ ๐ฆ๐ฒ๐ ๐ข๐ณ ๐ ๐ฎ๐๐ต๐ฒ๐บ๐ฎ๐๐ถ๐ฐ๐ฎ๐น ๐๐น๐ด๐ผ๐ฟ๐ถ๐๐ต๐บ๐ ๐ง๐ต๐ฎ๐ ๐๐ฒ๐ฎ๐ฟ๐ป ๐๐ฟ๐ผ๐บ ๐๐
๐ฝ๐ฒ๐ฟ๐ถ๐ฒ๐ป๐ฐ๐ฒ This
@kirkdborne
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Mathematics of Machine Learning Book Review and Guide
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Embedded Machine Learning: Solving Real-World Problems at Edge
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Take your AI to the Edge โ Solve Real-World Problems with Embedded Machine Learning : https://
amzn.to/3GN70uC by @dansitu and @jennymplunkett โโโโโ
#IoT #IIoT #AIoT #EdgeAI #ML #DataScience #EdgeComputing #DataScientist -
Context Engineering for Multi-Agent Systems: Building Transparent Reasoning Architectures
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"Context Engineering for Multi-Agent Systems: Move beyond prompting to build a Context Engine, a transparent architecture of context and reasoning" โ at http://
amzn.to/448dSiA v/ @PacktDataML ๐ฆ๐ฑ๐ช๐ฝ ๐จ๐ธ๐พ ๐ฆ๐ฒ๐ต๐ต ๐๐ฎ๐ช๐ป๐ท:
Develop memory models to retain short-term and -
Building Business-Ready Generative AI Systems with Agents
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"Building Business-Ready Generative #AI Systems โ Build Human-Centered Generative AI Systems with Context-Aware Agents, Memory, and LLMs for the Enterprise" at http://
amzn.to/3Jdcio5 v/ @PacktDataML Learn:
Implement an AI controller with a conversation AI agent and -
Mastering AI System Design: 10 Domain Driven Blueprints
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"Mastering AI System Design: Architect, Build and Deploy AI Systems Using 10 Domain Driven Blueprints and Interview Strategies" available at http://
amzn.to/3NFNOWF ๐๐๐๐ก๐ ๐ค๐ ๐พ๐ค๐ฃ๐ฉ๐๐ฃ๐ฉ๐จ:
1. Introduction to AI System Design
2. Crafting Intelligent Systems Using Prompt -
Practical Guide to Reinforcement Learning from Human Feedback
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New release from @PacktDataML available at http://
amzn.to/3PMn1ZL A Practical Guide to Reinforcement Learning from Human Feedback (RLHF). Amazon Summary: RLHF is a powerful approach to AI alignment and human-centered machine learning. By combining reinforcement learning -
Graph Machine Learning Advancements with PyTorch Geometric Techniques
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Graph Machine Learning โ Latest advancements in Graph Data to build robust Machine Learning algorithms (2nd Edition) โ at http://
amzn.to/45Y3LyI v/ @PacktDataML ๐๐ฎ๐ ๐๐ฎ๐ช๐ฝ๐พ๐ป๐ฎ๐ผ:
Master new graph ML techniques through updated examples using PyTorch Geometric and Deep -
Learn MCP with TypeScript: Build Agentic Systems
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"Learn Model Context Protocol [MCP] with TypeScript: Build Agentic Systems in TypeScript with the new standard for AI capabilities" at http://
amzn.to/48W6Izu by @chris_noring TypeScript explained โ what is it; why and when to use it: https://
contentful.com/blog/what-is-t
ypescript-and-why-should-you-use-it/
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Learn MCP Protocol: Build Agentic Systems Python
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Learn Model Context Protocol [MCP] with Python โ Build Agentic Systems in Python with the new standard for AI Capabilities: http://
amzn.to/4njfsVM by @chris_noring v/ @PacktDataML ๐ฆ๐ฑ๐ช๐ฝ ๐จ๐ธ๐พ ๐ฆ๐ฒ๐ต๐ต ๐๐ฎ๐ช๐ป๐ท:
Understand the MCP protocol and its core components -
Multi-Agent AI Systems Design Using MCP Framework
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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