Machine Learning for Time Series with Python — Forecast, predict, and detect anomalies with state-of-the-art ML methods: http://
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Book on ML for Time Series Forecasting and Anomaly Detection
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Designing Machine Learning Systems – Iterative Process for Production
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Designing #MachineLearning Systems — An Iterative Process for Production-Ready Applications: http://
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RAG-Driven Generative AI 2nd Edition: Build MAS-RAG with DualRAG
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New (2nd edition) from @PacktDataML available at http://
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LLM Engineer’s Handbook: Master LLM engineering from concept to production
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LLM Engineer's Handbook — Master the art of engineering Large Language Models LLMs from concept to production: http://
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2nd Edition Graph Machine Learning with PyTorch Geometric and DGL
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2nd Edition at http://
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Links to Machine Learning Platform Engineering and System Design books
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Machine Learning Platform Engineering: http://
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Platform and Model Design for Responsible AI book
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Platform and Model Design for Responsible AI — Design and build resilient, private, fair, and transparent machine learning models: http://
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Book: Build Human-Centered Generative AI Systems with Context-Aware Agents
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"Building Business-Ready Generative #AI Systems — Build Human-Centered Generative AI Systems with Context-Aware Agents, Memory, and LLMs for the Enterprise" at https://
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Implement an AI controller with a conversation AI agent and -
Deep Learning with C++ using CUDA for high-performance AI book
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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 http://
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Superintelligence book promotion and AI bestsellers on Amazon
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“Superintelligence — Paths, Dangers, Strategies” (top selling AI book on Amazon): http://
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