AI Engineering — Building Applications with Foundation Models: http://
amzn.to/4aiSv1O by @chipro —
#ML #MachineLearning #DataScience #DataScientist
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𝓣𝓸𝓹𝓲𝓬𝓼:
Understand what AI engineering is and how it differs from traditional machine learning engineering Learn the
AI
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AI Engineering: Building Applications with Foundation Models
By
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Concrete Mathematics: Essential Foundation for Computer Science
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Concrete [CONtinuous and disCRETE] Mathematics — A Foundation for Computer Science (and for serious users of mathematics in virtually every discipline): http://
amzn.to/4oGfeJn [672 pages] Topics covered: Evaluating Horrendous Sums Recurrences Integer functions -
Introduction to Probability, Statistics, and Random Processes
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Introduction to Probability, Statistics, and Random Processes: http://
amzn.to/3UkLHXZ
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#DataScience #Mathematics #DataScientist -
Understanding Uncertainty: Probability and Statistics Fundamentals
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What are the Chances of That? How to Think About Uncertainty: http://
amzn.to/4q7atJi by @itabn_andrew #Probability #Statistics #Mathematics -
Mathematics of Machine Learning Book Review and Guide
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Get "Mathematics of Machine Learning" here: http://
amzn.to/4eN7i52 by @TivadarDanka v/ @PacktDataML —
GitHub: http://
github.com/cosmic-cortex/
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Here is my review: 𝗧𝗵𝗲 𝗦𝗲𝘁 𝗢𝗳 𝗠𝗮𝘁𝗵𝗲𝗺𝗮𝘁𝗶𝗰𝗮𝗹 𝗔𝗹𝗴𝗼𝗿𝗶𝘁𝗵𝗺𝘀 𝗧𝗵𝗮𝘁 𝗟𝗲𝗮𝗿𝗻 𝗙𝗿𝗼𝗺 𝗘𝘅𝗽𝗲𝗿𝗶𝗲𝗻𝗰𝗲 This -
Brand Positioning in AI Search: GEO Debate Explained
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🚨 There is a lot of polarized debate around Generative Engine Optimization (GEO) right now.
— Charly Wargnier (@DataChaz) 19 avril 2026
But cutting through the noise, it all boils down to one simple question for most brands:
Where do you actually stand in AI Search today?
It's great to see @DagenoAI taking a… pic.twitter.com/v5t5VCIFSFThere is a lot of polarized debate around Generative Engine Optimization (GEO) right now. But cutting through the noise, it all boils down to one simple question for most brands: Where do you actually stand in AI Search today? It's great to see @DagenoAI taking a
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Embedded Machine Learning: Solving Real-World Problems at Edge
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Take your AI to the Edge — Solve Real-World Problems with Embedded Machine Learning : https://
amzn.to/3GN70uC by @dansitu and @jennymplunkett —————
#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" — at http://
amzn.to/448dSiA v/ @PacktDataML 𝓦𝓱𝓪𝓽 𝓨𝓸𝓾 𝓦𝓲𝓵𝓵 𝓛𝓮𝓪𝓻𝓷:
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 — 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 -
Steve Jobs Would Have Witnessed This AI Milestone
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I so wish Steve could have lived long enough to witness this.