GATE Data Science & Artificial Intelligence (DA) Practice Papers 2024
One of the strategic tactics that candidates must use to successfully qualify GATE exam 2024 is to practise questions from the GATE practice paper. Candidates can check the GATE practice questions here in this article.
GATE Data Science & Artificial Intelligence Practice Papers 2024: Data Science & Artificial Intelligence is the new addition in the list of subjects of GATE. GATE 2024 exam will be conducted by Indian Institute of Science (IISc) Bangalore on February 3, 4, 10 and 11, 2024. With only a few months till the GATE exam, students must be looking forward to answering GATE practise questions to gauge their degree of preparedness. Every aspirant candidate should carefully evaluate their understanding of the fundamental concepts through GATE practice papers. Every aspirant can check this article to download the GATE practice questions 2024 for Data Science & Artificial Intelligence for both the sections i.e. the general aptitude and the core subject.
GATE Practice Papers for Data Science & Artificial Intelligence 2024 - PDF Download (Core Subject)
Candidates preparing for GATE Data Science & Artificial Intelligence can click the download link given in the below table for the core subject. Every student must efficiently make use of the GATE practice questions given in the PDF format to improve their level of preparation and master the subject.
GATE Practice Questions for Data Science & Artificial Intelligence - Click Here |
GATE Practice Questions 2024 for Data Science & Artificial Intelligence - PDF Download (General Aptitude)
General aptitude section of GATE is one such section which tests the candidates basic numeracy skills and also assists in increasing the score. A student scoring a decent mark in the GATE general aptitude section can expect to successfully clear the GATE 2024 exam. Candidates can check the link provided in the below table to download the general aptitude GATE practice papers.
GATE Practice Papers for General Aptitude - Click Here |
GATE Data Science & Artificial Intelligence Syllabus
The syllabus of GATE Data Science & Artificial Intelligence is an important component of every candidate’s preparation strategy. A thorough understanding of the newly introduced GATE Data Science & Artificial Intelligence syllabus will assist the students in comprehending what are the important topics that one has to study for the exam. The syllabus of the Data Science & Artificial Intelligence paper can be downloaded by candidates from the link below provided in the table.
GATE Data Science & Artificial Intelligence Syllabus - Click Here |
GATE Data Science & Artificial Intelligence Important Topics
Aspirants can check the important topics of Data Science & Artificial Intelligence in the below table. The major sections that constitute the Data Science & Artificial Intelligence paper are as follows:
- Probability & Statistics
- Linear Algebra
- Calculus & Optimisation
- Programming, Data Structures and Algorithms
- Database Management and Warehousing
- Machine Learning
- Artificial Intelligence
Candidates can now check the important topics from each section in the table below.
Sections | Important Topics |
Probability & Statistics |
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Linear Algebra |
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Calculus & Optimisation |
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Programming, Data Structures and Algorithms |
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Database Management and Warehousing |
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Best Books of Data Science & Artificial Intelligence
Candidates can check the best books for Data Science & Artificial Intelligence paper here in the below table.
Section | Name of the Book | Name of the Author |
Probability & Statistics | Mathematical Statistics and Data Analysis (3rd Edition) | John A. Rice |
Introduction to Probability | Dimitri P. Bertsekas & John N. Tsitsiklis | |
Introduction to Probability Theories | P.G. Hoel, S.C. Port, C.J. Stone | |
First Course in Probability | Sheldon M. Ross | |
Introduction to Probability Models | Sheldon M. Ross | |
Linear Algebra | Introduction to Linear Algebra (5th Edition) | Gilbert Strang |
Matrix Computations (4th Edition) | Gene H. Golub & Charles F. Van Loan | |
Linear Algebra and Its Application | David Lay | |
Calculus | Deep Learning | Ian Goodfellow, Yoshua Bengio, Aaron Courville |
Mathematics for Machine Learning | Marc Peter Deisenroth, A. Alde Faisal | |
Python | Learning Python (5th Edition) | Mark Lutz |
Grokking Algorithms | Aditya Y. Bhargava | |
Data Structures & Algorithms in Python | Roberto Tamassia, Michael H. Goldwasser, Michael T. Goodrich | |
Database Management Systems, Data Warehousing, Data Mining | Database Systems Concept | Henry F. Korth |
Fundamentals of Database Systems | Navathe Shamkant | |
Database Management Systems | Raghu Ramakrishnan | |
Data Mining & Data Warehousing | Prateek Bhatia | |
The Data Warehouse Toolkit (3rd Edition) | Ralph Kimball, Margy Ross | |
Machine Learning | Hands-on Machine Learning with Scikit- Learn, Keras & TensorFlow | Aurélien Géron |
Machine Learning for Absolute Beginners | Oliver Theobald | |
Lectures on Machine Learning | Andrew N.G. (Professor at Stanford) | |
Machine Learning for Beginners | Chris Sebastian | |
Pattern Recognition and Machine Learning | Christopher Bishop | |
Machine Learning: A Probabilistic Perspective | Kevin Murphy | |
Artificial Intelligence | Artificial Intelligence by Example | Denis Rothman |
Artificial Intelligence Basics | Tom Taulli | |
Artificial Intelligence | Stuart Russell & Peter Norvig |
Preparing for the Data Science & Artificial Intelligence paper will require candidates a tremendous amount of meticulous planning and implementation. Since this paper has been newly introduced by the authorities, the GATE practice papers will enable students to analyse the difficulty level of the questions they can expect in the GATE exam and also keep a track of the major topics.
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