LLM Engineer's Handbook — Master the art of engineering Large Language Models #LLMs from concept to production: http://
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LLM Engineer’s Handbook: Master Large Language Models from Concept to Production
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Machine Learning Techniques for Handling Imbalanced Data
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#MachineLearning & #DeepLearning Techniques for Handling Imbalanced Data: http://
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What you will learn:
Explore the metrics used when classes are imbalanced.
Use imbalanced data in your machine learning models effectively.
Understand how and -
Google’s LangExtract Library Extracts Structured Data from Text
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LangExtract = Google's Python library for extracting structured information from unstructured text using LLMs:
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Chief AI Officer Handbook: AI Leadership Strategies for Business Growth
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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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Machine Learning Python Book for Algorithmic Trading and Time Series
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Comprehensive 822-page book on #MachineLearning with #Python for #AlgorithmicTrading (useful in many other business & industry #TimeSeries applications): http://
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Reinforcement Learning Classic Book Second Edition Released
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#ReinforcementLearning foundational book (2nd edition of this classic): http://
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Agent-Based Modelling and GIS: Practical Primer for Geospatial Analytics
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"Agent-Based Modelling and Geographical Information Systems: A Practical Primer (#GeoSpatial Analytics and #GIS)" http://
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Linked Data and Connected Systems Transforming Business and Science
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This book had a big impact on my thinking (graph databases, linked data, semantic knowledgebases, contextual metadata, connected IoT, etc.). Linked: How Everything is Connected to Everything Else — What It Means for Business, Science, & Everyday Life = http://
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Graph Neural Networks Foundations and Python Applications Resources
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"Graph #NeuralNetworks — Foundations, Frontiers, and Applications" at http://
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Do it with #Python: http://
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Graph Machine Learning 2nd Edition: PyTorch Examples and Advanced Techniques
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2nd Edition — New release! Order now at http://
amzn.to/45Y3LyI Graph Machine Learning — the latest advancements in graph data to build robust machine learning algorithms. 𝓚𝓮𝔂 𝓕𝓮𝓪𝓽𝓾𝓻𝓮𝓼: Master new graph ML techniques through updated examples using PyTorch