Where can I practice GATE Data Science & Artificial Intelligence previous year questions with solutions?

You can practice complete official GATE Data Science & Artificial Intelligence solved previous year questions (PYQs) for free on Examnetwork, featuring topic-wise chapter accordions, subject-wise question banks, year-wise full papers, and TCS iON virtual calculator integration.

Which topics and subjects carry the highest weightage in GATE Data Science & Artificial Intelligence?

Examnetwork provides a dynamic PYQ Analyser that computes subject-wise marks weightage, most repeated high-yield topics, and year-by-year trend breakdowns directly from official solved exam datasets.

Does Examnetwork provide the official TCS iON Virtual Calculator for numerical questions?

Yes, Examnetwork features an authentic TCS iON Virtual Calculator with accurate precision, trigonometric, logarithmic, and power functions matching the actual GATE exam interface.

GATE Data Science & AI (DA) PYQ Solved Papers & Weightage Analyser

Module 01 • Recommended

📜

GATE DA Previous Year Questions

Official Solved PYQs. Practice 4 ways: Topic-wise chapter accordions, Subject-wise question banks, Year-wise full papers, or the Interactive Solver.

Explore All Practice Modes →

Module 02 • Daily Speed

⚡

Daily Quiz

Solve daily 3 high-yield numericals, maintain your 7-day flame streak & calendar with virtual calculator integration!

Attempt Daily Quiz →

Module 03 • Simulation

⏱️

Mock Test Simulator

Full 3-Hour timed GATE exam simulation with Virtual Calculator integration & Instant Marks Analysis.

Launch Simulator →

Module 04 • High Yield

📊

PYQ Analyser & Trends

Dynamic subject-wise marks weightage, most repeated topics ranking, question type visual graphs, and live syllabus analytics.

View Weightage & Repeat Topics →

🎯 Today's GATE DA Practice Target

Q1. In Linear Regression with N training points and D features, what is the time complexity to compute the analytical Ordinary Least Squares (OLS) closed-form solution (XᵀX)⁻¹ Xᵀy? GATE DA • Machine Learning

💡 Solution (Option C): Computing XᵀX takes O(ND²) operations because X is N×D. Inverting the resulting D×D matrix takes O(D³) operations using Gaussian elimination. Hence the total time is O(ND² + D³).

Q2. Let A be a 3×3 real symmetric matrix with eigenvalues 1, 2, and 4. What is the trace of matrix A²? GATE DA • Linear Algebra

💡 Solution (Option C): If λ₁, λ₂, λ₃ are the eigenvalues of A, then λ₁², λ₂², λ₃² are the eigenvalues of A². The trace of a matrix is the sum of its eigenvalues: Trace(A²) = 1² + 2² + 4² = 1 + 4 + 16 = 21.

Q3. If a continuous random variable X follows an Exponential distribution with mean 4, what is P(X > 8 | X > 4)? GATE DA • Probability

💡 Solution (Option A): By the memoryless property of the Exponential distribution: P(X > s + t | X > s) = P(X > t). Here s = 4, t = 4, so P(X > 8 | X > 4) = P(X > 4). Since mean = 1/λ = 4 ⇒ λ = 1/4. P(X > 4) = e^(-λ*4) = e^(-(1/4)*4) = e⁻¹.

📚 GATE 30-Year PYQ Khazana & Topper Registers

Machine Learning & AI Register

Supervised vs Unsupervised algorithms, SVM margin derivations, Decision Tree split criteria (Gini/Entropy), Neural Network backpropagation, and CNN architectures.

Practice Machine Learning PYQs →

Probability & Mathematical Statistics

Bayes theorem, joint distributions, marginal PDFs, Expectation, Covariance matrices, Central Limit Theorem, Hypothesis testing (t-test, z-test, p-values).

Practice Probability & Stats PYQs →

Linear Algebra & Calculus Handnotes

Vector spaces, rank-nullity theorem, Gram-Schmidt orthogonalization, SVD, PCA transformations, gradient, Hessian matrices, and Taylor series expansions.

Practice Linear Algebra PYQs →