The GATE 2024 Exam
GATE Full Form	Graduate Aptitude Test for Engineering (GATE).
GATE Conducting Authority	IISC Bangalore
GATE Total No. of Papers	30 (Data Science & Artificial Intelligence added)
GATE Notification Release Date	24 August 2023
GATE Starting Date of Application	24 August 2023
GATE Last Date of Application	29 September 2023 (without late fees)
Mode of Exam	Computer Based Test(CBT)
Number of Questions Asked	65
GATE Marks Distribution	15 Marks (General Aptitude) + 85 Marks (Subject Questions)= 100 Marks (Total)
GATE Marks Distribution	15 Marks (General Aptitude) + 85 Marks (Subject Questions)= 100 Marks (Total)
GATE Exam Language	English
GATE Marking Scheme	One Mark and Two Marks
Negative Marking	Yes (for MCQ & MSQ)
GATE Official Website	https://gate2024.iisc.ac.in/

What is Data Science and Artificial Intelligence?

Data Science and Artificial Intelligence are two closely related fields that have gained significant prominence in recent years due to advancements in technology and the abundance of data. Data Science is an interdisciplinary field that combines various techniques, methodologies, and tools to extract insights and knowledge from structured and unstructured data.

The key components of data science include data cleaning, data preprocessing, data analysis, data visualization, and predictive modeling. Major aspects of Data Science include Data Collection, Data Cleaning and Preprocessing,  Machine Learning, etc.

Artificial Intelligence is a broader field that involves the development of intelligent systems that can mimic human intelligence and perform tasks that typically require human cognitive abilities. AI encompasses various subfields, including machine learning, natural language processing (NLP), computer vision, robotics, expert systems, and more.

Data Science and AI often go hand in hand, as AI algorithms are commonly used in data science to build predictive models and make data-driven decisions. As these fields continue to evolve, they have a significant impact on industries, driving innovation and improving efficiency and decision-making processes.