This book had a big impact on my thinking (graph databases, linked data, semantic knowledgebases, contextual metadata, connected IoT, context engineering, etc.): http://
amzn.to/4cBYJIi "Linked: How Everything is Connected to Everything Else — What It Means for Business,
@kirkdborne
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Book Impact on Graph Databases and Linked Data Thinking
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DeepSeek: fine-tuning, distillation, agents and prompt engineering
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"DeepSeek in Practice: From basics to fine-tuning, distillation, agent design, and prompt engineering of open source LLM" via @PacktDataML at http://
amzn.to/4imbryH Discover DeepSeek's unique traits in the LLM landscape
Compare DeepSeek's multimodal features with leading -
Pretraining Vision and LLMs: Building Foundation Models on AWS
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Pretrain Vision and #LLMs (Large Language Models) in #Python — Techniques for Building & Deploying Foundation Models on #AWS: http://
amzn.to/3pT9seD v/ @PacktDataML ————
#AI #MachineLearning #DeepLearning #MLOps #DataScience #ComputerVision #DataScientist #GenAI #GenerativeAI -
Supercharged coding with GitHub Copilot, ChatGPT and OpenAI
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Supercharged Coding with #GenAI — From vibe coding to best practices using GitHub Copilot, ChatGPT, and OpenAI: http://
amzn.to/3VBH2Su v/ @PacktDataML 𝓚𝓮𝔂 𝓕𝓮𝓪𝓽𝓾𝓻𝓮𝓼: Discover how GitHub Copilot, ChatGPT, and the OpenAI API can boost your coding productivity Push -
LangChain crash course for building OpenAI LLM-powered apps
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#LangChain Crash Course — Fast track to building OpenAI LLM-powered Apps using #Python: http://
amzn.to/3TFlQJT
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#LLMs #AI #DeepLearning #GenerativeAI #ML #MachineLearning #LLMOps #DataScience #DataScientist -
Robbyant unveils spatial perception AI model for robots
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@AntGroup
's subsidiary Robbyant (an Embodied AI company) unveils Spatial Perception AI Model, to enhance robots’ depth sensing and 3D environmental understanding capabilities in complex real-world environments. Read about Embodied AI & Robbyant's model: https://
businesswire.com/news/home/2026
0126215468/en/Ant-Group-Subsidiary-Robbyant-Unveils-Spatial-Perception-AI-Model-LingBot-Depth
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Introduction to Probabilistic Machine Learning (2nd Ed.) PDF
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INTRODUCTION to Probabilistic #MachineLearning (2nd Ed., 860-page PDF): http://
bit.ly/3seAc5G by @sirbayes Get the print copy: http://
amzn.to/48broB3
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#AI #DeepLearning #ML #DataScience #Mathematics #Probability #Statistics #LinearAlgebra #DataScientist -
Foundational Reinforcement Learning Book (2nd Edition)
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Reinforcement Learning foundational book (2nd edition of this classic): http://
amzn.to/3UtbeAa
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#DataScience #AI #MachineLearning #ML #DeepLearning #DataMining #Mathematics #Gamification -
Machine Learning for Dummies (3rd Edition)
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"Machine Learning for Dummies", by @lucamassaron and John Paul Mueller, now in its 3rd Edition: http://
amzn.to/44b8WJJ 𝙇𝙚𝙖𝙧𝙣:
What machine learning is, what it can do, and what it can't do.
Basics of machine learning code and how it integrates with large datasets. -
Scikit-learn Cookbook (3rd Ed.) — 80+ Machine Learning Recipes
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Scikit-learn Cookbook — 80+ recipes for #MachineLearning in Python with scikit-learn [3rd Edition]: http://
amzn.to/4oDGOq7 v/ @PacktDataML 𝓒𝓸𝓷𝓽𝓮𝓷𝓽𝓼:
Common Conventions & API Elements of Scikit-Learn
Pre-Model Workflow and Data Preprocessing
Dimensionality