Analytical Skills for AI and Data Science — Building Skills for an AI-Driven Enterprise: https://
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…helps practitioners to create value from AI and data science using an analytical skillset — each chapter illustrates how each skill works across a collection of use
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Analytical Skills for AI and Data Science: Building Enterprise Capabilities
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Ship Production PyTorch System in One Day Workshop
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Virtual Workshop hosted by @PacktPublishing @PacktDataML "Ship a Production PyTorch System in a Day — Build, Train, Optimize, and Deploy" Register with my discount code 'KIRK40' to get 𝟰𝟬% 𝗢𝗙𝗙 and see all the amazing benefits of the workshop here: https://
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Packt Workshop: Building MCP Servers in Production for AI Agents
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Consider this @PacktPublishing is hosting a workshop on March 29 on “Building MCP Servers in Production”, led by Peder Holdgaard Pedersen — for engineers designing secure, scalable systems that support AI Agents. Find more details and register here: https://
eventbrite.com/e/building-mcp
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Applied Causal Inference with Machine Learning and AI
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[Download 496-page PDF eBook] Applied Causal Inference Powered by Machine Learning and AI: http://arxiv.org/abs/2403.02467
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#ML #DataScience #Algorithms #Statistics -
Agentic Design Patterns: Building Intelligent Systems Guide
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"Agentic Design Patterns: A Hands-On Guide to Building Intelligent Systems" Read the Online eBook from Google at https://
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aK53T3Lg5KoGwvf8ukOUvbELRtH-V0LnOIFDxBryE/mobilebasic?pli=1#heading=h.pxcur8v2qagu
… Buy hardcopy version at http://
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Machine Learning Patterns Predictions Actions PDF eBook
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[Download 309-page PDF] "Patterns, Predictions, and Actions: A Story About Machine Learning" at http://
arxiv.org/abs/2102.05242
…sharpen your Probability, Calculus, and Linear Algebra knowledge with this eBook.
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Time Series Analysis with Python Cookbook Second Edition Release
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Brilliant new release at http://
amzn.to/4sjCbni "Time Series Analysis with Python Cookbook: Practical recipes for the complete time series workflow, from modern data engineering to advanced forecasting and anomaly detection" [2nd Edition; 812 pages] -
Mathematical Methods in Data Science: Theory and Python Applications
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Mathematical Methods in Data Science — Bridging Theory and Applications with Python: http://
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Unsupervised Machine Learning: Models, Algorithms, and Data Cleaning Essentials
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Data Without Labels — Models and Algorithms for Practical Unsupervised #MachineLearning: http://
amzn.to/4q5bbYz 𝓦𝓱𝓪𝓽 𝓨𝓸𝓾 𝓦𝓲𝓵𝓵 𝓛𝓮𝓪𝓻𝓷: Fundamental building blocks and concepts of machine learning and unsupervised learning
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AI Programming with Python: Machine Learning and Deep Learning Guide
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AI Programming with Python: http://
amzn.to/43TkNea Thorough introductions to #AI, #MachineLearning, and #DeepLearning Hands-on introductions to #Python Discussions of supervised and unsupervised learning Explorations of classification and regression in supervised