Tensor Decompositions for Data Science [and Computational Science]: http://
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AI Optimization Playbook: Strategies for Business Success and Responsible Innovation
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HotRelease from @PacktDataML "The AI Optimization Playbook: Drive business success with proven AI strategies, best practices, and responsible innovation" See it at http://
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Hands-On Mathematical Optimization with Python Guide
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Python Feature Engineering Cookbook 3rd Edition Released by Soledad Galli
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Graph Databases and Linked Data Impact on Knowledge Systems
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This book had a big impact on my thinking (graph databases, linked data, semantic knowledgebases, contextual metadata, connected IoT, context engineering, etc.): http://
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Azure OpenAI Essentials: Practical Guide to Generative AI Innovation
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Azure OpenAI Essentials — A practical guide to unlocking Generative AI-powered innovation with Azure OpenAI: http://
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Probability Statistics Essentials for Data Science Machine Learning
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Probability and Statistics Essentials for #DataScience and #MachineLearning, with 200+ examples and pictures [Kindle Edition]: http://
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50 Days of Data Analysis with Python Book for Beginners
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Check out this great book >> 50 Days of Data Analysis with Python — The Ultimate Challenges Book for Beginners, with Hands-on Challenges using Pandas, NumPy, Matplotlib, Sklearn and Seaborn: http://
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Master Python Fundamentals: Ultimate Beginner’s Guide with Practice Questions
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Chief AI Officer Handbook: AI Leadership & Business Growth Strategies
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Chief AI Officer (CAIO) Handbook — Master AI leadership with strategies to innovate, overcome challenges, & drive business growth: http://
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