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