@mrcheni
2. Deep Learning (DL)
Deep Learning, a subset of ML, uses neural networks with multiple layers to analyze complex patterns. It powers applications like:
• Image and speech recognition
• Autonomous driving
• Natural Language Processing (NLP)
3. Natural Language Processing (NLP)
NLP enables machines to understand, interpret, and generate human language. Applications include:
• Chatbots and virtual assistants
• Sentiment analysis
• Machine translation
4. Computer Vision
AI models analyze and interpret visual data, enabling applications like:
• Facial recognition
• Medical imaging diagnostics
• Autonomous navigation
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