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A comprehensive ML guide with 22 hands-on projects—from data exploration to distributed training. Covers CNNs, NLP, GANs, recommender systems, MLOps, and federated learning. Includes a 10-week curriculum. Built during my PhD at Wayne State University.
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27
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