Preparing for the GATE DA Test Series 2025 can be challenging, but the right resources and strategy make all the difference. If you’re aiming to excel in the GATE Data Science and Artificial Intelligence exam, enrolling in a comprehensive mock ...
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GATE Data Science and AI Syllabus
Official GATE Data Science and AI Syllabus Get detailed explanation about GATE DA Syllabus Probability and Statistics: GATE Data Science and AI Syllabus Linear Algebra: GATE Data Science and AI Syllabus Calculus and Optimization: GATE Data Science and AI Syllabus ...
GATE Data Science and AI Syllabus | Artificial Intelligence (AI)
GATE Data Science Artificial Intelligence Syllabus Search: informed, uninformed, adversarial; logic, propositional, predicate; reasoning under uncertainty topics – conditional independence representation, exact inference through variable elimination, and approximate inference through sampling. Here’s an overview of GATE Data Science Artificial Intelligence ...
GATE Data Science and AI Syllabus | Machine Learning
GATE Data Science and AI Machine Learning Syllabus (i) Supervised Learning: regression and classification problems, simple linear regression, multiple linear regression, ridge regression, logistic regression, k-nearest neighbour, naive Bayes classifier, linear discriminant analysis, support vector machine, decision trees, bias-variance trade-off, ...
GATE Data Science and AI Syllabus | Database Management and Warehousing
GATE Data Science and AI DBMS and Warehousing Syllabus ER-model, relational model: relational algebra, tuple calculus, SQL, integrity constraints, normal form, file organization, indexing, data types, data transformation such as normalization, discretization, sampling, compression; data warehouse modelling: schema for multidimensional ...