{"id":6307,"date":"2024-03-04T10:31:18","date_gmt":"2024-03-04T10:31:18","guid":{"rendered":"https:\/\/www.skillvertex.com\/blog\/?p=6307"},"modified":"2024-03-04T10:31:18","modified_gmt":"2024-03-04T10:31:18","slug":"data-science-and-ai-gate-syllabus","status":"publish","type":"post","link":"https:\/\/www.skillvertex.com\/blog\/data-science-and-ai-gate-syllabus\/","title":{"rendered":"Data Science And AI Gate Syllabus 2024"},"content":{"rendered":"\n<div class=\"wp-block-rank-math-toc-block\" id=\"rank-math-toc\" id=\"rank-math-toc\"><p>Table of Contents<\/p><nav><ul><li ><a href=\"#what-is-the-gate-2024-and-ai-syllabus\">What is the Gate 2024 and AI Syllabus ?<\/a><\/li><li ><a href=\"#what-is-the-gate-exam-syllabus\">What is the Gate Exam  Syllabus?<\/a><\/li><li ><a href=\"#what-is-the-marking-scheme-of-the-gate-data-science-and-artificial-intelligence-syllabus\">What is the Marking Scheme of the Gate Data Science and Artificial Intelligence Syllabus ?<\/a><\/li><li ><a href=\"#conclusion\">Conclusion <\/a><\/li><li ><a href=\"#data-science-and-ai-gate-syllabus-fa-qs\">Data Science And AI Gate Syllabus- FAQs<\/a><\/li><\/ul><\/nav><\/div>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>Data Science and Al Gate Syllabus<\/strong> combines 7 subjects which will include Calculus and Optimization, Programming, Data Structures and Algorithms, Database Management, and Warehousing.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\"> Moreover, the Gate Exam is a very competitive exam that will measure a candidate&#8217;s knowledge of engineering and science concepts. Initially, candidates need a thorough knowledge of listed topics and guidelines before attending the exam.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\" id=\"what-is-the-gate-2024-and-ai-syllabus\">What is the Gate 2024 and AI Syllabus ?<\/h2>\n\n\n<div class=\"wp-block-image\">\n<figure class=\"aligncenter size-full is-resized\"><img loading=\"lazy\" decoding=\"async\" width=\"5184\" height=\"3456\" src=\"https:\/\/www.skillvertex.com\/blog\/wp-content\/uploads\/2024\/01\/pexels-louis-bauer-249360-1.jpg\" alt=\"\" class=\"wp-image-6311\" style=\"width:539px;height:auto\"\/><\/figure>\n<\/div>\n\n\n<p class=\"wp-block-paragraph\"><\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><a href=\"https:\/\/www.skillvertex.com\/blog\/data-science-hackathon\/\" data-type=\"post\" data-id=\"6263\">Data Science<\/a> 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. <\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Modern <a href=\"https:\/\/www.skillvertex.com\/blog\/popular-front-end-technologies\/\" data-type=\"post\" data-id=\"597\">Technology <\/a>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  :<\/p>\n\n\n\n<h2 class=\"wp-block-heading\" id=\"what-is-the-gate-exam-syllabus\">What is the Gate Exam  Syllabus?<\/h2>\n\n\n\n<figure class=\"wp-block-table\"><table><tbody><tr><td><a href=\"https:\/\/www.skillvertex.com\/blog\/data-structures-and-algorithms-in-java\/\" data-type=\"post\" data-id=\"269\">Programming, Data Structures and Algorithms<\/a><\/td><td>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.<\/td><\/tr><tr><td>Calculus and optimization<br><br><\/td><td>Functions of a single variable, limit, continuity and differentiability, Taylor<br>series, maxima and minima, optimization involving a single variable.<\/td><\/tr><tr><td>Linear Algebra<br><br><\/td><td>Vector space, subspaces, linear dependence and independence of vectors, matrices,<br>projection matrix, orthogonal matrix, idempotent matrix, partition matrix and their properties,<br>quadratic forms, systems of linear equations and solutions; Gaussian elimination, eigenvalues and<br>eigenvectors, determinant, rank, nullity, projections, LU decomposition, singular value decomposition.<\/td><\/tr><tr><td>Probability and Statistics<br><br><\/td><td>Counting (permutation and combinations),<br>probability axioms, Sample space,Events, independent events, mutually exclusive events,<br>marginal, conditional and joint probability,<br>Bayes Theorem,conditional expectation and variance, mean, median, mode and standard deviation, correlation,and covariance,<br>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.<\/td><\/tr><tr><td><a href=\"https:\/\/www.skillvertex.com\/blog\/which-of-the-given-languages-is-not-commonly-used-for-ai\/\" data-type=\"post\" data-id=\"2778\">AI<br><\/a><br><\/td><td>Search: informed, uninformed, adversarial; logic, propositional, predicate; reasoning under uncertainty topics &#8211; conditional independence representation, exact inference through variable elimination, and approximate inference through sampling.<\/td><\/tr><tr><td><a href=\"https:\/\/www.skillvertex.com\/blog\/machine-learning-interview-questions-and-answers\/\" data-type=\"post\" data-id=\"3717\">Machine Learning<\/a><\/td><td>(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;<br><br>(ii) Unsupervised Learning: clustering algorithms, k-means\/k-medoid, hierarchical clustering, top-down, bottom-up: single-linkage, multiple linkages, dimensionality reduction, principal component analysis.<\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n<h2 class=\"wp-block-heading\" id=\"what-is-the-marking-scheme-of-the-gate-data-science-and-artificial-intelligence-syllabus\">What is the Marking Scheme of the Gate Data Science and Artificial Intelligence Syllabus ?<\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">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: <\/p>\n\n\n\n<figure class=\"wp-block-table\"><table><tbody><tr><td>Subject<\/td><td>Marks Allotted<\/td><\/tr><tr><td>General Aptitude (GA)<\/td><td>15<\/td><\/tr><tr><td>Subject marks<\/td><td>85<\/td><\/tr><tr><td>Total<\/td><td>100<\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n<h2 class=\"wp-block-heading\" id=\"conclusion\">Conclusion <\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">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.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\" id=\"data-science-and-ai-gate-syllabus-fa-qs\">Data Science And AI Gate Syllabus- FAQs<\/h2>\n\n\n<div id=\"rank-math-faq\" class=\"rank-math-block\">\n<div class=\"rank-math-list \">\n<div id=\"faq-question-1705926041481\" class=\"rank-math-list-item\">\n<h4 class=\"rank-math-question \">Q1. Who is eligible for a GATE data science and AI paper?<\/h4>\n<div class=\"rank-math-answer \">\n\n<p>Ans. Anyone who has a bachelor&#8217;s or above degree in engineering, technology, science, or the humanities will be eligible to apply for the GATE DA 2024 examination.<\/p>\n\n<\/div>\n<\/div>\n<div id=\"faq-question-1705926051822\" class=\"rank-math-list-item\">\n<h4 class=\"rank-math-question \">Q2. How many GATE attempts are allowed?<\/h4>\n<div class=\"rank-math-answer \">\n\n<p>Ans. You can attempt the Gate Exam as many times as you need.<\/p>\n\n<\/div>\n<\/div>\n<div id=\"faq-question-1705926059400\" class=\"rank-math-list-item\">\n<h4 class=\"rank-math-question \">Q3. Is GATE exam tougher than IIT JEE?<\/h4>\n<div class=\"rank-math-answer \">\n\n<p>Ans. Gate Exam is more difficult due to the level of complex concepts. It also covers topics of undergraduate  course.<\/p>\n\n<\/div>\n<\/div>\n<\/div>\n<\/div>","protected":false},"excerpt":{"rendered":"<p>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&#8217;s knowledge of engineering and science concepts. Initially, candidates need a thorough knowledge of listed topics and guidelines &#8230; <a title=\"Data Science And AI Gate Syllabus 2024\" class=\"read-more\" href=\"https:\/\/www.skillvertex.com\/blog\/data-science-and-ai-gate-syllabus\/\" aria-label=\"More on Data Science And AI Gate Syllabus 2024\">Read more<\/a><\/p>\n","protected":false},"author":4,"featured_media":6313,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[31],"tags":[857],"class_list":["post-6307","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-data-science","tag-data-science-and-ai-gate-syllabus","generate-columns","tablet-grid-50","mobile-grid-100","grid-parent","grid-33"],"_links":{"self":[{"href":"https:\/\/www.skillvertex.com\/blog\/wp-json\/wp\/v2\/posts\/6307","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.skillvertex.com\/blog\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.skillvertex.com\/blog\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.skillvertex.com\/blog\/wp-json\/wp\/v2\/users\/4"}],"replies":[{"embeddable":true,"href":"https:\/\/www.skillvertex.com\/blog\/wp-json\/wp\/v2\/comments?post=6307"}],"version-history":[{"count":5,"href":"https:\/\/www.skillvertex.com\/blog\/wp-json\/wp\/v2\/posts\/6307\/revisions"}],"predecessor-version":[{"id":7635,"href":"https:\/\/www.skillvertex.com\/blog\/wp-json\/wp\/v2\/posts\/6307\/revisions\/7635"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.skillvertex.com\/blog\/wp-json\/wp\/v2\/media\/6313"}],"wp:attachment":[{"href":"https:\/\/www.skillvertex.com\/blog\/wp-json\/wp\/v2\/media?parent=6307"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.skillvertex.com\/blog\/wp-json\/wp\/v2\/categories?post=6307"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.skillvertex.com\/blog\/wp-json\/wp\/v2\/tags?post=6307"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}