GATE Syllabus

GATE 2024 syllabus – DA: Data Science & Artificial Intelligence (New Paper)

GATE 2024 syllabus for Data Science & Artificial Intelligence (DA) (New Paper) gives you details of the latest GATE syllabus for the subject released by the official gate organizing institute IISc Bengaluru for the year 2024.

We also created an easy-to-use ad-free mobile app for the GATE syllabus, previous year papers with keys, gate calculator, virtual calculator, and more. Download iStudy App for all GATE preparation needs.

You will also find the IIT GATE college predictorNIT GATE college predictorGATE score calculator, and GATE Exam Info & Stats useful during GATE preparation. Without further due let’s jump into the GATE syllabus for Aerospace Engineering.

GATE 2024 syllabus – DA: Data Science & Artificial Intelligence (New Paper)

Probability and Statistics Counting (permutations and combinations), probability axioms, Sample space, events, independent events, mutually exclusive events, marginal, conditional, and joint probability, Bayes Theorem, conditional expectation and variance, mean, median, mode and standard deviation, correlation, and covariance, random variables, discrete random variables and probability mass function, uniform, Bernoulli, binomial distribution, Continuous random variables and probability distribution function, uniform, exponential, Poisson, normal, standard normal, t-distribution, chi-squared distributors’, cumulative distribution function, Conditional PDF, Central limit theorem, confidence interval, z-test, t-test, chi-squared test.

Linear Algebra Vector space, subspaces, linear dependence and independence of vectors, matrices, projection matrix, orthogonal matrix, idempotent matrix, partition matrix and their properties, quadratic forms, systems of linear equations and solutions; Gaussian elimination, eigenvalues and eigenvectors, determinant, rank, nullity, projectors, LU decomposition, singular value decomposition.

Calculus and Optimization Fenchones of a single variable, limit, continuity, and differentiability, Taylor series, maxima, and minima, optimization involving a single variable.

Programming, Data Structures, and Algorithms Programming in Python, basic data structures: stacks, queues, linked lists, trees, hash tables; Search algorithms: linear search and binary search, basic soaring algorithms: selection sort, bubble sort, and insertion sort; divide and conquer: mergesort, quicksort; introduction to graph theory; basic graph algorithms: traversals and shortest path.

Database Management and Warehousing ER-model, relational model: relational algebra, tuple calculus, SQL, integrity constraints, normal form, file organizing, indexing, data types, data transformation such as normalizing, discretization, sampling, compression; data warehouse modeling: schema for multidimensional data models, concept hierarchies, measures: categorizing and computations.

Machine Learning (i) Supervised Learning: regression and classicising problems, simple linear regression, multiple linear regression, ridge regression, logistic regression, k-nearest neighbour, naïve Bayes classifier, linear discriminant analysis, support vector machine, decision trees, bias-variance trade-off, cross-validation methods such as leave-one-out (LOO) cross-validation, k-folds cross validation, multi-layer perceptron, feed-forward neural network; (ii) Unsupervised Learning: clustering algorithms, k-means/k-medoid, hierarchical clustering, top-down, bottom-up: single-linkage, multiple linkages, dimensionality reduction, principal component analysis.

AI: Search informed, uninformed, adversarial; logic, propositional, predicate; reasoning under uncertainty topics – conditional independence representation, exact inference through variable elimination, and approximate inference through sampling.

InI India has tons of information for M.Tech Admissions in IITs, NITs, IIITs, and other state-level institutes. Do benefit from the content and also share it with your friends. If you want to discuss things with friends do check our communities, All Q&A about GATE Preparation and M.Tech Admissions.

We wish you great luck with GATE preparations.

Leave a Reply

Your email address will not be published. Required fields are marked *