02:53:55

20 Question on Vector Spaces & Subspaces | Linear Algebra | Saloni Bansal

01:09:56

Artificial Intelligence Practice Questions | GATE DA | Deval

01:10:36

Story so far & Zero Vector Space | Linear Algebra | Saloni Bansal

01:17:11

AIOT-3 Solutions | Machine Learning, Python & Linear Algebra | Saloni Bansal

01:04:05

Subspaces, Basis & Dimension of Vector Space | Linear Algebra | Saloni Bansal

35:52

What is Vector Space? | Linear Algebra | Saloni Bansal

46:59

GATE DA Statistics Questions | AIOT-1 | Deval | GATE CSE AIR 1

07:52

Practice Questions (Span, Linear Combination, Linear Independence) | Linear Algebra | Saloni Bansal

23:50

Linear Independence & Dependence of vectors | Linear Algebra | Saloni Bansal

23:04

Span of Vectors (Visually) | Linear Algebra | Saloni Bansal

27:04

Linear Combination of Vectors (Visually) | Linear Algebra | Saloni Bansal

04:09

Introduction to AIOT Test Interface

21:41

Crucial Role of Linear Algebra in Machine Learning | Linear Algebra | Saloni Bansal

33:11

What are vectors? (Visually) | Linear Algebra | Saloni Bansal

59:29

Lossy or Lossless FD Decomposition | Chase Test | DBMS | Saloni Bansal

06:25

GATE CSE 2001 PYQ | DBMS & Warehousing | Saloni Bansal | MTech IISc

01:14:43

Proving Age is Just a Number - Kunal Gupta | IISc Ph.D (Winter Admissions) | Full Course Enrolled

34:55

Maximum Likelihood Estimation in Multinomial Naive Bayes | Deval

30:07

Maximum Likelihood Estimator | Deval | GATE CSE AIR 1

12:04

PYQs On ER-Model | DBMS & Warehousing | PYQs | Saloni Bansal | MTech IISc

01:10:38

11 PYQs On SQL | DBMS & Warehousing | PYQs

04:43

Exciting Announcement | Additional Feature in Depth of ML Test series

45:46

Logistic Regression Motivation | Deval | GATE CSE AIR 1

09:00

DBMS & Warehousing | PYQs | Candidate Keys & Relational Schema | 1994, 2014, 2023

01:40:32

Informal Session on Final Months Prep Strategies & Motivation for Depth of ML GATE DA Students

01:01:48

Gaussian Naive Bayes | Deval | GATE CSE AIR 1

46:42

Multinomial Naive Bayes | Deval | GATE CSE AIR 1

38:42

Multi-Layer Perceptrons| Part4 | Sigmoid & ML Problem Setup | Saloni (MTech IISc)

01:03:50

Multi-Layer Perceptrons| Part3 | XOR using MLP & Power of MLP | Saloni (MTech IISc)

01:07:25

Forthright Dialogue with Achint Chaudhary | AIR 24 GATE DA 2024 | M.Tech at IISc

54:09

Naive Bayes Classifier | PYQs | Deval | GATE CSE AIR 1

24:13

Naive Bayes Classifier | Deval | GATE CSE AIR 1

01:16:05

Multi-Layer Perceptrons| Part2 | Perceptron & Perceptron Learning Algorithm | Saloni (MTech IISc)

01:06:52

Multi-Layer Perceptrons| Part1 | MP Neurons & their geometric interpretation | Saloni (MTech IISc)

05:37

Surprise Announcement | GATE DA 2025 ML-AI Course!

46:20

Bayes Classifier | Deval | GATE CS AIR 1

22:51

Linear Regression | Least Square Loss Properties | Deval | GATE CS AIR 1

35:43

Linear Regression | Bias Term Interpretation | Deval | GATE CS AIR 1

38:40

Linear Regression | Linear Regression Solution As Projection | Deval

31:28

Linear Regression | Linear Regression Solution | Deval | GATE CSE AIR 1

44:25

Linear Regression | Convexity of Least Square Loss | Deval

37:14

Linear Regression | Convexity and Gradient Visualisation | Deval

16:36

Linear Regression | Convex Function and Its Properties | Deval

56:59

Feature Vectors, Data Distribution, Model Parameters| ML Terminologies | Saloni, IISc, 6+ yrs ML exp

46:35

Linear Regression | Gradient of Quadratic Function | Deval

33:18

What is Unsupervised Learning? | Clustering & Dimensionality Reduction | Saloni, IISc, 6+ yrs ML exp

33:59

3 Phases of Model Development in Machine Learning | Saloni, IISc, 6+ yrs ML experience

43:41

Linear Regression | Notations & Loss Function | Deval | GATE CSE AIR 1

31:57

Linear Regression | Introduction & Motivation | Deval | GATE CSE AIR 1

01:46:04

What is Supervised Learning? | Classification vs Regression | Saloni, IISc, 6+ yrs ML experience

01:30

GATE DA 2025 Syllabus | GATE 2025 | IIT Roorkee

34:13

Law of Total Expectation | GATE PYQ | Deval | GATE CSE AIR 1

15:18

What lead to ML boom? | Introduction to Machine Learning Part 2| Saloni, IISc, 6+ yrs ML experience

05:05

Big Announcement | Scholarship Test-2 | GATE DA 2025

02:56

Surprise! Surprise !!! Big discounts for GATE DA 2025 Aspirants

21:09

How a machine learns? | Introduction to Machine Learning Part1 | Saloni IISc, 6+ Years ML experience

09:13

Conditional Expectation and Independence | Deval | GATE CSE AIR 1

05:21

Python Programming PYQ | Recursions & List | GATE DA 2024

14:10

Law of Iterated Expectation | Deval | GATE CSE AIR 1

09:00

Python Programming PYQ | Recursions & Dictionary | GATE DA 2024