5 Topics to Master for GATE AI Exam

IndustryTrends

Machine Learning: This section focuses on algorithms for learning from data, including supervised learning

Deep Learning: This section covers artificial neural networks and their applications in various domains, such as computer vision, natural language processing, and speech recognition

Computer Vision: This section focuses on algorithms and techniques for understanding and processing visual information, such as image classification, object detection, and image segmentation

Natural Language Processing: This section covers algorithms and techniques for understanding and processing natural language, such as machine translation, sentiment analysis, and text summarization

Mathematics and Probability: Linear algebra (eigenvalues, eigenvectors, matrix operations), calculus (optimization, differentiation, integration), probability and statistics

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