Machine Learning Algorithms & Models
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Discussions on supervised, unsupervised, and reinforcement learning
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Model selection, optimization, and evaluation techniques
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Practical implementation and real-world applications
Deep Learning (TensorFlow, PyTorch, Keras)
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Neural networks, CNNs, RNNs, LSTMs, Transformers
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Framework tutorials, troubleshooting, and performance tips
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Pretrained models and transfer learning
Natural Language Processing (NLP)
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Text classification, sentiment analysis, chatbots
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Large Language Models (LLMs) like GPT, BERT
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Multilingual NLP and speech-to-text systems
Computer Vision
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Image classification, object detection, segmentation
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OpenCV, YOLO, Detectron2, Vision Transformers
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Real-world use cases (healthcare, security, AR/VR)
AI Ethics & Future Trends
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Responsible AI, bias, and fairness in models
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Explainability (XAI) and AI governance
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The future of AI in society, jobs, and industries
