Learn Neural Networks fundamentals in this classic #MachineLearning book: “Neural Smithing — Supervised Learning…” http://
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Learn Neural Network Fundamentals from ‘Neural Smithing’
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Modern Computer Vision with PyTorch — 2nd Edition Book
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2nd Edition, 746 pages, massive! Modern Computer Vision with #PyTorch #DeepLearning — from practical fundamentals to advanced applications and Generative AI: http://
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Book: Unlocking Data with Generative AI and RAG
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New updated 2nd Edition, by @keithbourne v/ @PacktDataML "Unlocking Data with Generative AI and RAG — Learn AI Agent Fundamentals with RAG-powered Memory, Graph-based RAG, and Intelligent Recall" Get the book here: http://
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LLM Engineer’s Handbook — Build and Train Large Language Models
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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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Industry-ready Time Series Forecasting with Python and PyTorch
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Modern #TimeSeries #Forecasting with #Python — Industry-ready #MachineLearning and #DeepLearning time series analysis with PyTorch and PANDAS: http://
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Book: Build a Large Language Model (From Scratch)
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Book: Hands-on Guide to Building AI Agents
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AI Agents in Action: http://
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Build a Text-to-Image Generator from Scratch
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Hot New Release >> Build a Text-to-Image Generator (from Scratch), with transformers and diffusions: http://
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Book: Machine Learning for Tabular Data — XGBoost & Deep Learning
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Excellent book from @ManningBooks >> #MachineLearning for Tabular Data: XGBoost, Deep Learning, and #AI, by @MarkRyanMkm & @lucamassaron Get it here: http://
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Designing Machine Learning Systems for Production
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Designing #MachineLearning Systems — An Iterative Process for Production-Ready Applications: http://
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Engineering data and choosing the right metrics to solve a business problem Automating the process for continually developing,