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Machine Learning
Discussions on machine learning algorithms, models, techniques, and applications in various fields, including deep learning, supervised learning, unsupervised learning, reinforcement learning, and model deployment.
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Supervised Learning
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Discussions on supervised learning techniques, algorithms (e.g., regression, classification), and applications in AI.
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Unsupervised Learning
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Discussions on unsupervised learning methods (e.g., clustering, anomaly detection), and their applications in AI.
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Reinforcement Learning
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Discussions on reinforcement learning, algorithms (e.g., Q-learning, policy gradients), and applications in AI.
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Neural Networks
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Discussions on neural network architectures, deep learning frameworks (e.g., TensorFlow, PyTorch), and advancements in AI.
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