gate data science and ai free course

Topic Covered : 

1. Vector space
2. subspaces
3. linear dependence and independence of vectors
4. matrices
5. projection matrix
6. orthogonal matrix
7. idempotent matrix
8. partition matrix and their
9. properties
10. quadratic forms
11. systems of linear equations and solutions; 
12. Gaussian elimination
13. eigenvalues and eigenvectors
14. determinant
15. rank
16. nullity
17. projections
18. LU decomposition
19. singular value decomposition

Topic Covered : 

1. Counting (permutation and combinations)
2. probability axioms
3. Sample space
4. events
5. independent events
6. mutually exclusive events
7. marginal
8. conditional and joint probability
9. Bayes Theorem
10. conditional expectation and variance
11. mean,median, mode and standard deviation
12. correlation, and covariance
13. random variables
14. discrete random variables
15. probability mass functions
16. uniform, Bernoulli, binomial distribution
17. Continuous random variables
18. probability distribution function uniform, exponential, Poisson, normal, standard, normal, t-distribution, chi-squared distributions
19. cumulative distribution function
20. Conditional PDF
21. Central limit theorem
22. confidence interval
23. z-test, t-test, chi-squared test.

Topic Covered

1. Programming in Python
2. basic data structures:stacks, queues, linked lists, trees, hash tables;
3. Search algorithms: linear search and binary search,
4. basic sorting algorithms: selection sort, bubble sort and insertion sort;
5. divide and conquer: merge sort, quicksort;
6. introduction to graph theory; basic graph algorithms: traversals and shortest path.

This Playlist contains the detail solution of GATE DA 2024 paper.

In 2023, when the GATE Data Science and AI paper was first introduced, we knew students needed extra support with limited time to prepare. That’s why we quickly developed this playlist, covering most of the key topics, including regression, classification, neural networks, and clustering. While it may not be polished, it was the best we could do at the time, and it’s helped many students tackle their GATE preparation with confidence. We’re proud of the impact it’s had so far.

Back in 2023, we saw the need for AI-focused practice materials, so we put together this playlist to cover essential topics. You’ll find problems on search techniques—whether informed, uninformed, or adversarial—as well as logic (both propositional and predicate) and reasoning under uncertainty. While it’s not the most polished resource, it was our best effort at the time, and it has helped many students get the practice they needed for their AI studies. We’re proud of its positive impact so far.

In 2023, when GATE IISc Bangalore introduced the Data Science and AI paper, we took the initiative to provide students with a complete sample paper solution. This playlist offered detailed explanations and step-by-step solutions, helping students gain a better understanding of the topics and enhance their preparation.

In 2023, with limited time and resources, we assembled this comprehensive playlist to aid students in their machine learning studies. We covered a broad spectrum of topics. Although the playlist was developed under tight deadlines, it has been a useful resource for many students. We’re committed to enhancing it further and look forward to delivering an even better version in the coming year.