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Machine Learning (ML): Systems that learn from data to make predictions or decisions.
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Deep Learning: A subset of ML using neural networks for tasks like image and speech recognition.
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Natural Language Processing (NLP): Enables machines to understand and generate human language.
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Computer Vision: Allows computers to interpret and analyze visual data from the world.
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Robotics: Combines AI with hardware to perform tasks autonomously.
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Expert Systems: Mimic human decision-making using rule-based logic.
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Reinforcement Learning: AI learns by trial and error to achieve goal.
She is a very kind and caring person. Her friendly nature, patience, and way to explain things clearly make learning much easier and more enjoyable. She is always there to clear my doubts, no matter how small. Very supportive and guides you in every way. Overall, she is a wonderful and an amazing mentor.
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