Data Science And AI Gate Syllabus 2024

Data Science and Al Gate Syllabus combines 7 subjects which will include Calculus and Optimization, Programming, Data Structures and Algorithms, Database Management, and Warehousing.

Moreover, the Gate Exam is a very competitive exam that will measure a candidate’s knowledge of engineering and science concepts. Initially, candidates need a thorough knowledge of listed topics and guidelines before attending the exam.

What is the Gate 2024 and AI Syllabus ?

Data Science is referred to as the study of data extraction and will uniformly structure data. Data Science consists of Artificial Intelligence and will give more a human-like capable service for the extraction, analysis, and structuring of data in a very efficient way.

Modern Technology is also added to the Gate Data Science And Artificial Intelligence 2024 Syllabus. It has 7 subjects which have a good scope for the upcoming young generations. The topics in the Data ScienceI Syllabus is given in the table provided below :

What is the Gate Exam Syllabus?

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 sorting algorithms: selection sort, bubble sort and insertion sort; divide and conquer: mergesort, quicksort; introduction to graph theory; basic graph algorithms: traversals and shortest path.
Calculus and optimization	Functions of a single variable, limit, continuity and differentiability, Taylor series, maxima and minima, optimization involving a single variable.
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, projections, LU decomposition, singular value decomposition.
Probability and Statistics	Counting (permutation 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 functions, uniform, Bernoulli,binomial distribution, Continuous random variables and probability distribution function, uniform, exponential, Poisson, normal, standard normal, t-distribution, chi-squared distributions, cumulative distribution function, Conditional PDF, Central limit theorem, confidence interval, z-test, t-test, chi-squared test.
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.
Machine Learning	(i) Supervised Learning: regression and classification problems, simple linear regression, multiple linear regression, ridge regression, logistic regression, k-nearest neighbor, naive 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, mulo-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.

What is the Marking Scheme of the Gate Data Science and Artificial Intelligence Syllabus ?

It is very important to take note of the marking scheme of the Gate 2024 exam. This can reduce time and can allow you to know the demands of the paper. The marking Scheme of the Gate Data Science and Artificial Intelligence exam is provided below:

Subject	Marks Allotted
General Aptitude (GA)	15
Subject marks	85
Total	100

Conclusion

Summing up, knowing the Data Science And AI Gate Syllabus will allow the students to appear to perform well in the exam. This will help them to narrow down the points during the exam preparation. Students can also understand which area they need to focus more and evaluate themselves by reading the syllabus of the Gate Exam.

Data Science And AI Gate Syllabus- FAQs