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GATE paper · DA

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GATE DA syllabus.

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100 total marks

7subjects

128resources

3hduration

01Learn from primary sources

02Practice the reasoning

03Review official papers

Curriculum

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01 9 topics

0%

Probability & Statistics

Reason about uncertainty, distributions, estimation, and statistical decisions.

Study guide ↗ Notebook ↗

Browse 6 resource collections

Books 4

NPTEL and MOOCs Courses 5

Notes 3

Concept Visualisation 2

Articles 1

Probability and Statistics : Geeks For Geeks ↗

Practice Problems 2

Counting and sample spaces
Probability axioms
Conditional probability
Bayes theorem
Random variables
PMF, PDF, and CDF
Expectation and variance
CLT and confidence intervals
z, t, and chi-squared tests

02 9 topics

0%

Linear Algebra

Build the matrix intuition behind data, optimization, and machine learning.

Study guide ↗ Notebook ↗

Browse 5 resource collections

Books 3

NPTEL and MOOCs Courses 3

Notes 3

Articles 1

Linear Algebra Important Points on Gate Overflow ↗

Practice Problems 2

Vectors
Span and subspaces
Linear independence
Matrices and linear maps
Rank and nullity
Eigenvalues and eigenvectors
Orthogonal projections
Diagonalization and SVD
Least squares and PCA

03 8 topics

0%

Calculus & Optimization

Understand change, approximation, and the mechanics of optimization.

Study guide ↗

Browse 5 resource collections

Books 3

NPTEL and MOOCs Courses 2

Notes 2

Articles 1

"Khan Academy Caculus" ↗

Practice Problems 4

Functions
Limits
Continuity
Derivatives
Taylor approximation
Critical points
Maxima and minima
Single-variable optimization

04 9 topics

0%

Programming & Algorithms

Translate problems into Python programs and efficient algorithms.

Study guide ↗ Notebook ↗

Browse 5 resource collections

Books 2

NPTEL and MOOCs Courses 6

Notes 5

Articles 4

Practice Problems 8

Python semantics
Data structures
Stacks, queues, and lists
Trees and hash tables
Searching and sorting
Graph traversal
Divide and conquer
Shortest paths
Complexity analysis

05 9 topics

0%

Database Management

Model, query, organize, and analyze structured data systems.

Study guide ↗

Browse 5 resource collections

Books 3

NPTEL and MOOCs Courses 2

Notes 4

Articles 2

Practice Problems 3

ER model
Relational model
Relational algebra and tuple calculus
SQL and integrity constraints
Functional dependencies
Normalization
File organization and indexing
Data transformations
Warehousing and OLAP

06 9 topics

0%

Machine Learning

Connect models, objectives, validation, and data-driven decisions.

Study guide ↗ Notebook ↗

Browse 5 resource collections

Books 3

NPTEL and MOOCs Courses 5

Notes 3

Articles 7

Practice Problems 12

Data and features
Regression
Classification
Clustering
Dimensionality reduction
Loss and regularization
Bias-variance and validation
k-means and hierarchical methods
PCA

07 10 topics

0%

Artificial Intelligence

Explore search, logic, uncertainty, and computational reasoning.

Study guide ↗

Browse 5 resource collections

Books 1

"Artificial Intelligence: A Modern Approach, 4th Ed" ↗

NPTEL and MOOCs Courses 7

Notes 6

Articles 2

Practice Problems 2

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