What is GATE DA (Data Science and Artificial Intelligence) syllabus?
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2 Answers
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GATE DA (Data Science and Artificial Intelligence) syllabus consists of seven sections namely Probability and Statistics, Linear Algebra, Calculus and Optimization, Programming, Data Structures and Algorithms, Database Management and Warehousing, Machine Learning, Artificial Intelligence. Important topics covered under the GATE DA syllabus includes Permutation and combinations, Probability, Vectors, Gaussian elimination, Limit, continuity and differentiability, Maxima and minima, Programming, Search algorithms, Supervised Learning, Unsupervised Learning, etc. Candidates can check the detailed syllabus for GATE
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GATE DA (Data Science and Artificial Intelligence) syllabus contains several sections namely Probability and Statistics, Linear Algebra, Calculus and Optimization, Programming, Data Structures and Algorithms, Database Management and Warehousing, Machine Learning, Artificial Intelligence.
Candidates can check complete GATE DA Syllabus for GATE 2025 using the given link; GATE 2025 Complete Syllabus
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