Master AI concepts, machine learning, and deep learning to build intelligent solutions for real-world challenges.
○ In-depth exploration of AI-specific libraries like Scikit-learn, TensorFlow, PyTorch.
○ Search Algorithms (A*, Minimax Algorithm).
○ Problem-solving using Constraint Satisfaction Problems.
○ Advanced architectures like ResNet, GANs (Generative Adversarial Networks).
○ Backpropagation and Optimization Techniques.
○ Sentiment Analysis, Chatbot Development, Transformers like BERT.
○ Object Detection and Recognition using OpenCV.
○ Advanced techniques with YOLO and Mask R-CNN.
○ Analyzing biases in AI systems and responsible AI practices.
○ Developing an AI-powered solution such as a virtual assistant or facial recognition system.
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