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AI Fundamentals
Machine Learning (ML)
Machine Learning focuses on creating algorithms that allow computers to learn from data and improve their performance over time without explicit programming. Key techniques include supervised learning (using labeled data), unsupervised learning (finding patterns in unlabeled data), and reinforcement learning (learning through rewards and penalties).
Natural Language Processing (NLP)
Natural Language Processing enables computers to understand, interpret, and generate human language. It powers applications like speech recognition, language translation, and chatbots by parsing text, understanding context, and generating responses.
Computer Vision (CV)
Computer Vision allows computers to interpret visual data from the world. It includes tasks like facial recognition, object detection, and image classification. Techniques often involve deep learning, particularly convolutional neural networks (CNNs), to recognize patterns in images and videos.