Practical Guide to Oracle AI Engineering — Build intelligent apps with machine learning and AI across cloud and on-premises environments: https://
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A Guide Builds Oracle AI Applications Across Cloud and On-Premises Systems
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Python Automation Recipes Cover MCP Integration and AI Workflows
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A C++ Deep Learning Guide Deploys Neural Networks With CUDA
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Deep Learning with C++ — Design and deploy neural networks using CUDA for high-performance AI in C++ Get the book at https://
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Scikit-Learn Guide Covers Feature Engineering for Machine Learning
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Feature Engineering for Modern Machine Learning with Scikit-Learn: Advanced Data Science and Practical Applications (Advanced Data Analysis Series) Available at https://
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Python Machine Learning Guide Covers Data Preparation and Image Classification
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Python Machine Learning By Example: https://
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Unsupervised Learning Guide Covers Unlabelled Data and Data Cleaning
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Data Without Labels — Models and Algorithms for Practical Unsupervised Machine Learning: https://
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A Textbook Explains AI and Machine Learning Concepts and Algorithms
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Machine Learning and Artificial Intelligence — Concepts, Algorithms and Models: https://
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Textbook Covers Linear Algebra and Optimization for Machine Learning
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Linear Algebra and Optimization for Machine Learning [516-page textbook]: https://
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This textbook is organized around its 2 main themes:
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LLM System Design Guide Covers Production Architecture Patterns
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System Design for the LLM Era — Patterns and Principles for Production-grade AI Architecture: https://
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A Claude Skills Guide Turns Repeated Work Into Reusable Capabilities
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Building Claude Skills — Turn repeatable work into reusable skills: https://
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