Index

Probability and Statistics

Linear Algebra

Limits

Derivatives

Integrals

Differential Equations

Programming, Data Structures and Algorithms

Database Management and Warehousing

Machine Learning

AI

All Exams > GATE Data Science and Artificial Intelligence (DA) > Crash Course for GATE Data Science & Artificial Intelligence > All Videos

All videos of Crash Course for GATE Data Science & Artificial Intelligence for GATE Data Science and Artificial Intelligence (DA) Exam

Probability and Statistics

Statistics For Data Analytics

04:14 min

Types of Statistics

08:34 min

Types of Data

08:50 min

Population and Sample

04:16 min

Sampling Techniques

08:05 min

Statistical Data Analysis Complete Steps

04:48 min

Measures of Central Tendency

10:14 min

Measures of Dispersion

13:05 min

Frequency

06:28 min

Must know Visualization in Statistics

17:45 min

Outliers

04:36 min

Correlation

09:17 min

Probability Concepts for Data Analysis and Data Science

07:35 min

Types of Events

09:33 min

Conditional Probability

02:49 min

Bayes Theorem

08:23 min

PMF

06:48 min

Bernoulli Distributions

07:25 min

Uniform Distribution

04:08 min

Normal Distributions

05:21 min

Standardisation

08:40 min

Empirical Rule

04:32 min

Inferential Statistics

11:45 min

Confidence Interval

08:35 min

Student's T Distribution

03:59 min

Hypothesis Testing

10:04 min

Type 1 and Type 2 Error

04:04 min

One tailed and Two tailed Tests

03:23 min

Z Test hypothesis Testing

05:41 min

Complete STATISTICS for Data Science

225:34 min

Statistics Project On Hypothesis Testing You NEED In Your Portfolio

55:23 min

T Test Hypothesis Testing

04:35 min

ANOVA Test

10:07 min

Chi Square Test

06:50 min

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Linear Algebra

Linearly Independent and Linearly Dependent in Linear Algebra

75:28 min

Filling the space

44:25 min

Filling the Space Part-2

28:17 min

Summary So far

12:33 min

A New Approach to Multiply a Matrix and a Vector

26:34 min

Why Solving System Of Linear Equations

22:58 min

Writing as Ax=b, Geometric Interpretation and Possible Solutions

24:44 min

Understanding Ax=b intuitively

44:54 min

Multiplying 2 Matrices

18:15 min

GATE 2016 Question

16:07 min

GATE 2014 Question

14:07 min

Two More Conceptual Questions

28:57 min

Linear Combination of Linearly Independent Vectors is Unique

28:51 min

GATE 2017 Question

04:18 min

Echelon Form and Pivot Columns

37:54 min

Gaussian Elimination

26:16 min

Rank Of a Matrix

11:28 min

Finally Solving Ax=b

33:56 min

Understanding Parametric form of Solution of Ax = b

32:06 min

6a GATE 2021 Question

19:35 min

Number Of Solutions of Ax=b Based on Rank (A) and Rank (A

18:46 min

Few Questions Related to Rank (A) and Number of Solutions

08:16 min

"How Elementary ""ROW"" Operations Lead to Linearly Independent ""Columns""?"

24:21 min

[Optional] Row Reduced Echelon Form of a Matrix

28:23 min

Determinant of a Matrix

100:43 min

Cramer's Rule

26:59 min

Introduction to Eigenvalues and Eigenvectors

23:30 min

X is EigenVector then kx is also EigenVector

15:06 min

Questions on Solving for Eigenvalues and Eigenvectors

22:09 min

Linearly Independent Eigen Vectors with Repeating Eigenvalues

21:57 min

Three Different Examples With Repeating Lambda

30:18 min

Symmetric Matrices has n LI Eigen Vectors

12:09 min

Eigenvalues and Determinants Got Some Tricks Up Their Sleeve

12:12 min

Do We Have Any Relation Between Rank and Eigen Values of a Matrix ?

22:01 min

Questions on Relationship Between Rank and Eigen Values

15:32 min

Cayley-Hamilton Theorem

16:27 min

Relationship Between Eigen Values of AB and BA

32:07 min

Eigen Values of Powers of a Matrix such as Aᵏ, Aᵏ + 2Aᵏ⁻¹, etc

17:01 min

LU Decomposition

25:24 min

Type Of Matrices

84:52 min

Introduction to Vector Spaces Subspaces Basis and Span

109:10 min

Basis, Span, Dimensionality of Vector Space, and Subspaces

86:22 min

Lecture 3 Subspaces of Matrix A Column and Null Space

91:16 min

Row Space and Left Null Space

73:05 min

Four Fundamental Subspaces

75:24 min

Change of Basis

88:35 min

Introduction to Linear Transformation

101:57 min

More on Linear Transformation

116:22 min

Linear Transformation w.r.t Arbitrary Basis

111:56 min

Many Questions on Linear Transformation and Change of Basis

85:39 min

Summary So Far

72:39 min

Summary So Far

92:47 min

Similar Matrices and Diagonalization

78:01 min

Introduction to Singular Value Decomposition (Part-1)

100:28 min

Singular Value Decomposition (Part-2)

94:22 min

Relationship Between Four Fundamental Subspaces and SVD

80:14 min

Geometry of Singular Value Decomposition

95:17 min

30 Questions on Singular Value Decomposition

78:32 min

Orthogonal Projection

60:51 min

Projection onto Subspace

82:47 min

Projection Matrix

77:38 min

SVD Quiz Solution

85:21 min

Introduction to Partition Matrix or Block Matrix

60:48 min

Operations using Partition Matrix or Block Matrix

78:22 min

Positive Definite Matrix And Quadratic Forms of Matrices

88:46 min

Limits

Tangent Lines and Rates of Change- 1

19:41 min

Tangent Lines and Rates of Change- 2

22:29 min

Explanation: Functions

34:12 min

Examples of Irrational numbers

33:28 min

Limit of Functions- II

41:10 min

Continuous Functions

41:06 min

Limits of Functions-I

44:18 min

Intermediate Value Theorem

42:38 min

Maximum Value Theorem

31:12 min

Supremum and Infimum

40:37 min

Introduction to Limits- 1

11:32 min

Introduction to Limits- 2

07:39 min

Examples of Limit- 1

08:58 min

Examples of Limit- 2

06:58 min

Examples of Limit- 3

09:58 min

Limits to Define Continuity

11:14 min

Infinite Limits

09:12 min

Limits At Infinity

13:14 min

Introduction - Continuity

13:31 min

Derivatives

Concept of Derivatives

52:51 min

Differentiation Formulas

13:31 min

Product Rule for Derivatives

11:11 min

Quotient Rule for Derivatives

11:55 min

Rules of Differentiation

37:48 min

Derivative of a Function

31:44 min

Maxima and Minima

34:58 min

Rolle's Theorem and Lagrange Mean Value Theorem (MVT)

34:17 min

Monotonic Functions and Inverse Functions

35:49 min

Newton's Method for solving Equations

35:05 min

Optimization Problems

31:51 min

Derivatives of Trig Functions

19:08 min

Derivatives of Exponential and Logarithm Functions

08:41 min

Implicit Differentiation

12:48 min

Higher Order Derivatives

10:51 min

Introduction to Logarithmic Differentiation

13:31 min

Hyperbolic Functions

07:34 min

Chain Rule

18:40 min

Integrals

Indefinite Integral

29:00 min

Substitution Rule for Indefinite Integrals

32:11 min

Riemann Sums

20:10 min

Integration-I : In the style of Newton and Leibnitz

44:49 min

Integration-II : In the spirit of Newton and Leibnitz

37:20 min

Integration-III : Newton and Leibnitz Style

58:40 min

Integration theory of Riemann-I

42:13 min

Integration Rule

33:43 min

Integration theory of Riemann-II

30:23 min

Fundamental Theorem of Calculus (in Riemann style)

25:33 min

Calculating Indefinite Integrals

31:51 min

The Kurzweil-Henstock Integral (K-H Integral)

53:35 min

Improper Integral-I

31:52 min

Improper Integral-II

41:03 min

Application of Definite Integral-I

32:05 min

Application of definite Integral-II

35:08 min

Application of definite Integral-III

29:59 min

Application of definite Integral-III (Contd.)

37:58 min

Numerical Integration-I

32:00 min

Numerical Integration-II

26:58 min

Definite Integral

22:00 min

Fundamental Theorem of Calculus- 1

11:30 min

Fundamental Theorem of Calculus- 2

11:23 min

Substitution Rule for Definite Integrals

11:03 min

Double Integrals

32:17 min

Iterated Integrals

11:14 min

Double Integrals Over General Regions

10:15 min

Double Integrals In Polar Coordinates

35:50 min

Triple Integrals

22:11 min

Triple Integrals In Cylindrical Coordinates

20:46 min

Triple Integrals In Spherical Coordinates

28:43 min

Change Of Variables

10:46 min

Differential Equations

Differential Equation First Order and Degree

22:33 min

Differential Equation from Slope Field

06:11 min

Introduction to differential equations-I

35:38 min

Ordinary and Partial Differential Equations and Applications

02:31 min

Introduction to differential equations-II

33:43 min

Existence and uniqueness of solutions of differential equations-I

38:00 min

Existence and uniqueness of solutions of differential equations-II

36:40 min

Existence and uniqueness of solutions of differential equations-III

29:53 min

Existence and uniqueness of solutions of a system of differential equations

37:02 min

Properties of Homogeneous Systems

53:29 min

Linear System

26:41 min

Solution of Homogeneous Linear System with Constant Coefficients-I

37:38 min

Solution of Homogeneous Linear System with Constant Coefficients-II

22:56 min

Solution of Homogeneous Linear System with Constant Coefficients-III

47:52 min

Solution of Non-Homogeneous Linear System with Constant Coefficients

40:56 min

First Order Linear Differential Equations

22:28 min

Separable First Order Differential Equations

10:42 min

Exact Differential Equations

31:36 min

Substitutions, First Order Differential Equations- 1

11:32 min

Bernoulli Differential Equations

20:03 min

Substitutions, First Order Differential Equations- 2

11:23 min

Reduction of Order

18:39 min

Complex Roots

40:59 min

Repeated Roots- 1

12:08 min

Repeated Roots- 2

08:46 min

The Wronskian

06:30 min

Nonhomogeneous Differential Equations

21:16 min

Variation Of Parameters

17:26 min

Variation Of Parameters

17:26 min

Laplace Transform

10:38 min

Heaviside Step Function

10:02 min

Initial Value Problem

05:46 min

Solving an IVP using Laplace Transform

08:13 min

Solve a Non-Constant Coefficient IVP using Laplace transform

10:03 min

Table of Laplace Transforms

04:31 min

Euler's Method

20:50 min

Eigenvalues and Eigenfunctions

27:47 min

Boundary Value Problems

44:26 min

Orthogonal Functions

11:13 min

Periodic Functions

24:24 min

Fourier Sine and Cosine Series

14:47 min

Fourier Series and it's Convergence - 1

31:02 min

Fourier Series and it's Convergence - 2

30:57 min

Programming, Data Structures and Algorithms

Introduction to Jupyter Notebooks and Google Colab

15:17 min

Implementation of Python Codes - Part 01

08:47 min

Python Recap - I

09:58 min

Python Recap - II

19:52 min

Python Recap - III

13:04 min

Exception Handling

16:38 min

Classes and Objects

18:43 min

Implementation of Python Codes - Part 02

07:04 min

Timing Our Code

05:43 min

Implementation of Python Codes - Part 03

06:09 min

Why Efficiency Matters

20:56 min

Implementation of Python Codes - Part 04

05:01 min

Analysis of Algorithms

35:05 min

Comparing Orders of Magnitude

24:01 min

Calculating Complexity - Examples

18:09 min

Searching in a List

11:11 min

Selection Sort

15:43 min

Insertion Sort

15:15 min

Merge Sort

12:43 min

Analysis of Merge Sort

09:50 min

Implementation of Searching and Sorting Algorithms

10:14 min

Quicksort

17:58 min

Analysis of Quicksort

10:19 min

Implementation of Quicksort Algorithm

03:57 min

Concluding Remarks on Sorting Algorithms

06:42 min

Difference Between Lists and Arrays (Theory)

17:19 min

Designing a Flexible List and Operations on the Same

19:29 min

Implementation of Lists in Python

18:19 min

Implementation of Dictionaries in Python

15:26 min

Difference Between Lists and Arrays (Implementation)

14:12 min

Introduction to Graphs

24:57 min

Representing Graphs

18:05 min

Breadth First Search BFS

33:53 min

Depth First Search DFS

17:19 min

Applications of BFS and DFS

31:34 min

Introduction to Directed Acyclic Graph DAG

08:18 min

Topological Sorting

20:19 min

Longest Path in DAGs

10:17 min

Shortest Paths in Weighted Graphs

09:00 min

Single Sourse Shortest Paths (Dijkstra's Algorithm)

24:17 min

Single Sourse Shortest Paths with Negative Weights (Bellman-Ford Algorithm)

18:22 min

All Pairs Shortest Paths (Floyd-Warshall Algorithm)

24:01 min

Minimum Cost Spanning Trees

08:57 min

Minimum Cost Spanning Trees (Prim's Algorithm)

23:53 min

Minimum Cost Spanning Trees Kruskal's Algorithm

23:36 min

Union Find Data Structure

29:50 min

Priority Queues

18:45 min

Heaps

39:20 min

Using Heaps in Algorithms

28:07 min

Search Trees

37:45 min

Balanced Search Trees

45:53 min

Greedy Algorithms-Interval Scheduling

35:01 min

Greedy Algorithms-Minimizing Lateness

29:10 min

Greedy Algorithms-Huffman Coding

42:19 min

Divide and Conquer Counting Inversions

25:26 min

Divide and Conquer Closest Pair of Points

29:30 min

Divide and Conquer Integer Multiplication

28:28 min

Divide and Conquer Recursion Trees

19:55 min

Divide and Conquer Quick Select

27:28 min

Implementation of Quick Select and Fast Select Algorithms

08:28 min

Dynamic Programming

19:00 min

Memoization

21:32 min

Grid Paths

25:00 min

Edit Distance

26:08 min

Matrix Multiplication

29:21 min

String Matching

11:55 min

String Matching: Boyer-Moore Algorithm

15:52 min

String Matching: Rabin-Karp Algorithm

16:53 min

String Matching Using Automata

17:11 min

String Matching: Knuth-Morris-Pratt Algorithm

18:56 min

String Matching-Tries

34:18 min

String Matching-Regular Expressions

27:42 min

Linear Programming

27:57 min

Linear Programming Production Planning

19:52 min

Linear Programming Bandwidth Allocation

11:59 min

Network Flows

24:41 min

Reductions

14:39 min

Intractability Checking Algorithms

27:22 min

Intractability P and NP

17:13 min

Summary of Weeks 1 to 3

15:53 min

Summary of Weeks 4 to 6

19:34 min

Summary of Weeks 7 to 9

23:25 min

Summary of Weeks 10 to 11

20:20 min

Common Subwords and Subsequences

27:11 min

Database Management and Warehousing

Lecture: 01

14:24 min

Lecture: 02

14:41 min

Lecture: 03- Intro to ER Model

27:37 min

Lecture: 04- Previous Year Questions

10:33 min

Lecture: 05- ER Model

15:48 min

Lecture: 06- ER Model

20:32 min

Relational Algebra

24:45 min

Tutorial: Relational Algebra

12:14 min

Relational Algebra-Part 2

18:32 min

Relational Algebra-Part 3

24:56 min

Tuple Relational Calculus

20:20 min

Intro to SQL

19:16 min

Datatypes and Constraints

32:20 min

Tutorial: Datatype and Constraints Example

08:49 min

SQL command part 1

13:29 min

SQL command part 2

10:06 min

SQL: SELECT Command

18:16 min

Functional Dependency

19:31 min

PYQ: SQL, Relational Algebra & Calculus

09:36 min

Lec 01: Intro to Data Warehouse

07:49 min

Lecture 02: What is Data Warehouse

07:55 min

Normalization

12:34 min

Lecture 03: Data Warehouse, Data Lake and Data LakeHouse

10:56 min

Database Management & Warehousing Full Course and Test Series

08:35 min

GATE DA 2024 Q46 Solution

05:30 min

GATE DA 2024 Q31 Solution

07:29 min

How to find number of super keys

09:40 min

Machine Learning

Introduction to Machine Learning

08:06 min

Supervised Vs. Unsupervised Learning

09:40 min

Supervised Learning

14:20 min

Regression

09:44 min

Simple Linear Regression

17:09 min

Multiple Linear Regression

07:04 min

K Nearest Neighbor

13:50 min

Gini Index

06:30 min

Feedforward Neural Network

22:14 min

K means Clustering Question

13:05 min

GATE DA 2024 Solution : Q17

09:53 min

Linear Separability- GATE DA 24 Q53

09:21 min

Feed-Forward Neural Network

16:18 min

Linear Discriminant Analysis (Part 2)

17:02 min

Hierarchical clustering (Part B)

10:58 min

AI

Intro to Search Problem

29:46 min

Search: Informed, Uninformed, Adversarial

21:59 min

Depth First Search (DFS)

16:58 min

Depth First Search-Examples

06:28 min

Breadth First Search (BFS)

11:39 min

BFS vs DFS

37:43 min

Depth Limited Search

09:44 min

Iterative Deepening Depth-First Search

11:43 min

Uniform Cost Search (UCS)

25:59 min

Bidirectional Search

19:17 min

Informed Search: Greedy Best First Search

23:38 min

Informed Search: A* Search

17:51 min

Tutorial : A* Search

12:16 min

A* Search: Admissible & Consistent

19:02 min

Adversarial Search

08:19 min

Adversarial Search: MiniMax

14:46 min

MiniMax Example

07:35 min

Alpha-Beta Pruning

17:18 min

Intro to Logic

11:10 min

Propositional Logic

31:12 min

Propositional Logic Part B

22:24 min

Propositional Logic Part C

15:27 min

Propositional Logic- Inference Rules

14:06 min

Predicate Logic

25:54 min

Tutorial 3-A star Search

18:04 min

Artificial Intelligence (AI) Full Course

09:47 min

Tutorial: MiniMax Algorithm

06:43 min

GATE DA 2024 Solution : Q44

08:52 min

Bayes Theorem

14:14 min

Reasoning under Uncertainty in Artificial Intelligence

17:02 min

GATE DA 2024 Solution : Q64

10:50 min

Likelihood Weighting Sampling

13:15 min

DFS Edge Classification

21:42 min

GATE DA 2024 Solution Q25

04:39 min

Artificial Intelligence Course for GATE DA

09:14 min

GATE DA 2024 Solution Q54

12:10 min

Crash Course for GATE Data Science & Artificial Intelligence

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