11- All About Number Systems: Binary, Decimal, Octal, and Hexadecimal
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11- All About Number Systems: Binary, Decimal, Octal, and Hexadecimal
52:17
10 - All About Registers: Types, Functions & Applications | Digital Electronics
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10 - All About Registers: Types, Functions & Applications | Digital Electronics
32:54
9 - All About Counters: Synchronous, Asynchronous & More | Digital Electronics
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9 - All About Counters: Synchronous, Asynchronous & More | Digital Electronics
45:41
8 - All About Flip-Flops: SR Flip-Flop, JK Flip-Flops, D Flip-Flops, T Flip-Flop Explained
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8 - All About Flip-Flops: SR Flip-Flop, JK Flip-Flops, D Flip-Flops, T Flip-Flop Explained
1:19:32
7 - All About Multiplexer | DeMultiplexer | Decoder | Encoder | Priority Encoder
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7 - All About Multiplexer | DeMultiplexer | Decoder | Encoder | Priority Encoder
1:48:32
6 - All About Half Adder | Full Adder | Ripple Adder | Parellel Adder | Look Ahead Carry Adder
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6 - All About Half Adder | Full Adder | Ripple Adder | Parellel Adder | Look Ahead Carry Adder
1:21:37
5- NAND NOR Universal Gate Complete Discussion in Hindi Functionally Complete Function
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5- NAND NOR Universal Gate Complete Discussion in Hindi Functionally Complete Function
41:43
4 - K-Map complete discussion in hindiSimplification of Boolean Expression
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4 - K-Map complete discussion in hindiSimplification of Boolean Expression
1:38:23
3- Complete Boolean Expression SOP POS Complementation Dual, Self-Dual for GATE Exam in Hindi
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3- Complete Boolean Expression SOP POS Complementation Dual, Self-Dual for GATE Exam in Hindi
1:17:17
2- All About Logic Gates for GATE EXAM in Hindi
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2- All About Logic Gates for GATE EXAM in Hindi
1:13:02
2.7 Support Vector Machine (SVM) | Linear Vs Non-Liner | Polynomial Kernel | Gaussian (RBF) Kernel
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2.7 Support Vector Machine (SVM) | Linear Vs Non-Liner | Polynomial Kernel | Gaussian (RBF) Kernel
9:27
2.6 Bayesian Belief Network with solved Example in Machine Learning
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2.6 Bayesian Belief Network with solved Example in Machine Learning
8:20
2.5 Naive Bayes Classifier with Example in Machine Learning
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2.5 Naive Bayes Classifier with Example in Machine Learning
10:35
2.4 Bayes Optimal Classifier with Example in Machine Learning
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2.4 Bayes Optimal Classifier with Example in Machine Learning
12:21
2.3 Concept Learning in Machine Learning with Simple Example
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2.3 Concept Learning in Machine Learning with Simple Example
8:35
1-Introduction of Digital Electronics for Gate Exam
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1-Introduction of Digital Electronics for Gate Exam
29:24
2.2 Bayes' Theorem Simplest Explaination with example | Total Probability | Proof
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2.2 Bayes' Theorem Simplest Explaination with example | Total Probability | Proof
8:48
2.1 Regression | Simple Linear Regression | Multiple Linear Regression | Logistic Regression
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2.1 Regression | Simple Linear Regression | Multiple Linear Regression | Logistic Regression
10:33
1.5 Issues | Challenges | Problems in Machine Learning
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1.5 Issues | Challenges | Problems in Machine Learning
9:39
1.4 Machine Learning Approaches - ANN, Clustering, Classification, Reinforcement Learning, SVM
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1.4 Machine Learning Approaches - ANN, Clustering, Classification, Reinforcement Learning, SVM
30:32
1.3 Machine Learning - Introduction
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1.3 Machine Learning - Introduction
17:00
1.2 Overview on the history of Machine Learning
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1.2 Overview on the history of Machine Learning
8:47
3.6 Locally Weighted Regression with Example in Machine Learning
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3.6 Locally Weighted Regression with Example in Machine Learning
10:29
3.5 Instance-Based Learning | K Nearest Neighbour Classification | KNN with Example
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3.5 Instance-Based Learning | K Nearest Neighbour Classification | KNN with Example
12:35
3.4 Inductive Bias in Machine Learning with Simple Example
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3.4 Inductive Bias in Machine Learning with Simple Example
5:29
3.3 Decision Tree Learning Algorithm (ID3, C4.5, CART)
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3.3 Decision Tree Learning Algorithm (ID3, C4.5, CART)
7:53
3.2 What is Entropy | Entropy for Each Subset | Information Gain | Decision Tree Designing
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3.2 What is Entropy | Entropy for Each Subset | Information Gain | Decision Tree Designing
23:11
3.1 What is Decision Tree with Simple Examples in Machine Learning
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3.1 What is Decision Tree with Simple Examples in Machine Learning
13:30
4.8 Convolutional Neural Networks in Machine Learning with examples convolutional layers stride
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4.8 Convolutional Neural Networks in Machine Learning with examples convolutional layers stride
10:30
4.7 What is Deep Learning with Advantage, Disadvantage and Applications
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4.7 What is Deep Learning with Advantage, Disadvantage and Applications
9:09
4.6 Self Organizing Maps (SOM) with Example
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4.6 Self Organizing Maps (SOM) with Example
16:50
4.5 Back Propogation Algorithm in Machine Learning With Example Complete Discussion
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4.5 Back Propogation Algorithm in Machine Learning With Example Complete Discussion
16:26
4.4 All About Gradient Descent Learning Algorithm with Types and Delta Learning Rule
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4.4 All About Gradient Descent Learning Algorithm with Types and Delta Learning Rule
22:13
4.3 Perceptron in ML | Implement AND OR function Training Rule using Perceptron Networks
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4.3 Perceptron in ML | Implement AND OR function Training Rule using Perceptron Networks
17:19
4.2 Artificial Neural Network(ANN) with Example in Machine Learning in Hindi
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4.2 Artificial Neural Network(ANN) with Example in Machine Learning in Hindi
15:28
4.1 Biological Neuron and Artificial Neuron in Machine Learning in Hindi
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4.1 Biological Neuron and Artificial Neuron in Machine Learning in Hindi
12:30
GATE 2024 CSE KnowledgeGate GATE Guidance Batch Testimonial Part - 8
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GATE 2024 CSE KnowledgeGate GATE Guidance Batch Testimonial Part - 8
25:54
GATE 2024 CSE KnowledgeGate GATE Guidance Batch Testimonial Part - 6
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GATE 2024 CSE KnowledgeGate GATE Guidance Batch Testimonial Part - 6
31:48
GATE 2024 CSE KnowledgeGate GATE Guidance Batch Testimonial Part - 5
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GATE 2024 CSE KnowledgeGate GATE Guidance Batch Testimonial Part - 5
29:31
GATE 2024 CSE KnowledgeGate GATE Guidance Batch Testimonial Part -4
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GATE 2024 CSE KnowledgeGate GATE Guidance Batch Testimonial Part -4
30:24
GATE 2024 CSE KnowledgeGate GATE Guidance Batch Testimonial Part -3
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GATE 2024 CSE KnowledgeGate GATE Guidance Batch Testimonial Part -3
24:19
GATE 2024 CSE KnowledgeGate GATE Guidance Batch Testimonial Part -2
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GATE 2024 CSE KnowledgeGate GATE Guidance Batch Testimonial Part -2
26:44
GATE 2024 CSE KnowledgeGate Gate Guidance Batch Testimonial Part -1
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GATE 2024 CSE KnowledgeGate Gate Guidance Batch Testimonial Part -1
28:38
5.2 Markov Decision process, Q Learning Algorithm
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5.2 Markov Decision process, Q Learning Algorithm
19:55
5.1 All About Reinforcement Learning in Machine Learning
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5.1 All About Reinforcement Learning in Machine Learning
15:51
5.3 Genetic Algorithm in Machine Learning
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5.3 Genetic Algorithm in Machine Learning
48:06
5.3 Machine Translation in Artificial Intelligence
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5.3 Machine Translation in Artificial Intelligence
9:59
5.2 Natural Language Processing in Artificial Intelligence
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5.2 Natural Language Processing in Artificial Intelligence
15:32
5.1 AI Applications | Language Models | Information Retrieval in Artificial Intelligence
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5.1 AI Applications | Language Models | Information Retrieval in Artificial Intelligence
10:58
4.3 Trust and Reputation in multi-agent systems in Artificial Intelligence with Example
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4.3 Trust and Reputation in multi-agent systems in Artificial Intelligence with Example
6:33
4.2 Agent Communication | Arguments in Multi-Agent Systems with Simple Example
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4.2 Agent Communication | Arguments in Multi-Agent Systems with Simple Example
14:59
4.1 Architecture for Intelligent agents in Artificial Intelligence with Example
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4.1 Architecture for Intelligent agents in Artificial Intelligence with Example
12:36
3.4 Knowledge Representation and Knowledge Acquisition in Artificial Intelligence
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3.4 Knowledge Representation and Knowledge Acquisition in Artificial Intelligence
13:20
3.3 Forward Chaining and Backward Chaining in Artificial Intelligence with Example
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3.3 Forward Chaining and Backward Chaining in Artificial Intelligence with Example
17:12
3.2 First Order Logic in Artificial Intelligence with Simple Example
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3.2 First Order Logic in Artificial Intelligence with Simple Example
20:43
3.1 Propositional Logic in Artificial Intelligence with Examples in Hindi
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3.1 Propositional Logic in Artificial Intelligence with Examples in Hindi
18:57
2.9 Branch and Bound Algorithm with Example | 0/1 Knapsack using Branch and Bound
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2.9 Branch and Bound Algorithm with Example | 0/1 Knapsack using Branch and Bound
13:22
2.8 Minimax Algorithm in Artificial Intelligence with Simple Example | Alpha Beta pruning
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2.8 Minimax Algorithm in Artificial Intelligence with Simple Example | Alpha Beta pruning
21:43
2.7 8 Puzzle Problem in Artificial Intelligence with Simple Example using Heuristic Search
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2.7 8 Puzzle Problem in Artificial Intelligence with Simple Example using Heuristic Search
13:21
2.6 Constraints Satisfaction Problem in Artificial Intelligence with Simple Example CryptArithmetic
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2.6 Constraints Satisfaction Problem in Artificial Intelligence with Simple Example CryptArithmetic
6:50
2.5 Water Jug Problem in Artificial Intelligence with Simple Example
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2.5 Water Jug Problem in Artificial Intelligence with Simple Example
4:32
2.4 Means End Analysis in Artificial Intelligence with Simple Example
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2.4 Means End Analysis in Artificial Intelligence with Simple Example
6:23
2.3 Hill Climbing Algorithm in Artificial Intelligence with Simple Example
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2.3 Hill Climbing Algorithm in Artificial Intelligence with Simple Example
13:52
2.2 Heuristic(Informed) search in Artificial Intelligence | Best First Search | A* Search | AO* Sear
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2.2 Heuristic(Informed) search in Artificial Intelligence | Best First Search | A* Search | AO* Sear
29:22
1.1 Introduction to Learning | Component of Learning System | Supervised | Unsupervised Learning
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1.1 Introduction to Learning | Component of Learning System | Supervised | Unsupervised Learning
17:17
2.1 Uninformed Search Algorithms | BFS | DFS | Depth Limited Search | Bidirectional Search
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2.1 Uninformed Search Algorithms | BFS | DFS | Depth Limited Search | Bidirectional Search
26:43
1.3 Types of intelligent agents in artificial intelligence
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1.3 Types of intelligent agents in artificial intelligence
16:57
1.2 Agents and environments in artificial intelligence | Properties of task environments
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1.2 Agents and environments in artificial intelligence | Properties of task environments
17:30
1.1 Introduction to Artificial Intelligence | Future | Characteristics of Intelligent Agents
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1.1 Introduction to Artificial Intelligence | Future | Characteristics of Intelligent Agents
25:02