download: gate 2024 sample paperHow to use for GATE 2024? Step 1: Visit the reliable site goaps.iisc.ac.in Step 2: On the homepage, click on at the registration hyperlink for GATE 2024 Step 3: Register your self and fill the applying shape Step 4: Upload the desired paperwork and create the applying cost of charges
Step 5: Download the affirmation web page and take a printout of the similar for additional use. follow right here: gate 2024 registrationDocuments required for registration • Personal main points (candidate’s title, date of delivery, cellular quantity, title of father or mother or parent and cellular quantity, and many others.) • Address for verbal exchange together with PIN code • Eligible level main points • College with PIN code Name and Address of • Choice of GATE Paper • Choice of GATE Exam Cities • Photograph of the candidate • Signature of the candidate • Scanned reproduction of legitimate photograph id report (ID) • PDF reproduction of Category (SC/ST) certificates (if (if acceptable) • PDF reproduction of PwD certificates (if acceptable) • PDF reproduction of Dyslexic certificates (if acceptable) • Net-banking/debit card/bank card/UPI/pockets main points for charge cost Frequently Asked Questions (FAQs) )Question 1. What is the aim of the launched pattern papers for GATE 2024 in Data Science and Artificial Intelligence (DA)? Answer: The goal of the pattern papers launched for GATE 2024 in Data Science and Artificial Intelligence (DA) is to permit applicants to apply and get ready for the newly offered DA topic. GATE 2024 exam. Question 2. When is the net utility procedure for GATE 2024 going to near, and the place can applicants follow? Answer: The on-line utility procedure for GATE 2024 is scheduled to near on October 20, 2023. Candidates can follow by way of visiting the reliable site goaps.iisc.ac.in. Question 3. What are the topics integrated in Data Science and Artificial Intelligence (DA) topic for GATE 2024? Answer: DA topics for GATE 2024 come with topics like Linear Algebra, Calculus and Optimization, Programming, Data Structures and Algorithms, Database Management and Warehousing, Machine Learning (ML), and AI.
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