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Stanford's FREE Courses on AI & ML: ❯ CS221 - Artificial Intelligence ❯ CS229 - Machine Learning ❯ CS230 - Deep Learning ❯ CS234 - Reinforcement Learning ❯ CS229M - ML Theory ❯ CS224N - NLP with Deep Learning ❯ CS224U - NL Understanding Course links inside:
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Free YouTube channel for deep learning from UC Berkeley University. Learn deep learning with end-to-end projects: Covers: • Fundamentals • CNNs and synthetic data • Computer vision • Recurrent neural networks
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Day- 2 (Advance cheatsheet by Stanford) Working on a deep learning project or brushing up on fundamentals? Check out this insightful cheatsheet from Stanford University! It breaks down complex topics into digestible points. What's your go-to quick reference for deep learning? #AIStudyGroup #MachineLearningFundamentals #TechLearning (comment for pdf link)
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This is what a middle school science teacher does to relax on a Summer Saturday hopefully to win some $$$ using some AI help and some skills. Streaming time-series data in batches, optimizing models, and taming loss curves — just another day architecting deep learning pipelines for predictions Today’s tools: PyArrow, Temporal Conv Nets, and a sprinkle of transformer magic ⚙️💥 #AI #Kaggle #Quant #TimeSeriesModeling #DeepLearning #TFT #TCN #Science #NHPS