Artificial Intelligence & Machine Learning

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Machine Learning Algorithms & Models

• Discussions on supervised, unsupervised, and reinforcement learning

• Model selection, optimization, and evaluation techniques

• Practical implementation and real-world applications

Deep Learning (TensorFlow, PyTorch, Keras)

• Neural networks, CNNs, RNNs, LSTMs, Transformers

• Framework tutorials, troubleshooting, and performance tips

• Pretrained models and transfer learning

Natural Language Processing (NLP)

• Text classification, sentiment analysis, chatbots

• Large Language Models (LLMs) like GPT, BERT

• Multilingual NLP and speech-to-text systems

Computer Vision

• Image classification, object detection, segmentation

• OpenCV, YOLO, Detectron2, Vision Transformers

• Real-world use cases (healthcare, security, AR/VR)

AI Ethics & Future Trends

• Responsible AI, bias, and fairness in models

• Explainability (XAI) and AI governance

• The future of AI in society, jobs, and industries