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CONVEXITY OF POLYGON

CONVEXITY OF POLYGON

MOORE MACHINE

MOORE MACHINE

MEALY MACHINE

MEALY MACHINE

One Day Live Webinar on Aerospace Industries & Advancements in Technologies

One Day Live Webinar on Aerospace Industries & Advancements in Technologies

2.4 HOW TO CRACK GATE 2021(CS)| TIPS AND TRICKS | BY PUNESHKUMAR SIR | BY ALGOSIMPLIFIED

2.4 HOW TO CRACK GATE 2021(CS)| TIPS AND TRICKS | BY PUNESHKUMAR SIR | BY ALGOSIMPLIFIED

2.3 WHAT IS NEW IN GATE - 2021(CS)

2.3 WHAT IS NEW IN GATE - 2021(CS)

2.2 GATE – OPERATING SYSTEM | PROBLEM – 2

2.2 GATE – OPERATING SYSTEM | PROBLEM – 2

2.1 GATE – OPERATING SYSTEM | PROBLEM – 1

2.1 GATE – OPERATING SYSTEM | PROBLEM – 1

1.4 GATE - C PROGRAMMING AND DATA STRUCTURE | PROBLEM - 5

1.4 GATE - C PROGRAMMING AND DATA STRUCTURE | PROBLEM - 5

1.3 GATE - C PROGRAMMING AND DATA STRUCTURE | PROBLEM - 3 & 4

1.3 GATE - C PROGRAMMING AND DATA STRUCTURE | PROBLEM - 3 & 4

1.2 GATE - C PROGRAMMING AND DATA STRUCTURE | PROBLEM - 2

1.2 GATE - C PROGRAMMING AND DATA STRUCTURE | PROBLEM - 2

1.1 GATE - C PROGRAMMING AND DATA STRUCTURE | PROBLEM-1

1.1 GATE - C PROGRAMMING AND DATA STRUCTURE | PROBLEM-1

4.3.1 NATURAL LANGUAGE PROCESSING | PART - 1

4.3.1 NATURAL LANGUAGE PROCESSING | PART - 1

4 .2 APPROACHES TO NATURAL LANGUAGE UNDERSTANDING

4 .2 APPROACHES TO NATURAL LANGUAGE UNDERSTANDING

4.6.3 MULTISTAGE GRAPH EXAMPLE BACKWARD APPROACH

4.6.3 MULTISTAGE GRAPH EXAMPLE BACKWARD APPROACH

4.1 LEARNING IN AI

4.1 LEARNING IN AI

4.6.2 MULTISTAGE GRAPH EXAMPLE FORWARD APPROACH

4.6.2 MULTISTAGE GRAPH EXAMPLE FORWARD APPROACH

4.6.1 MULTISTAGE GRAPH PROBLEM | ALGORITHM

4.6.1 MULTISTAGE GRAPH PROBLEM | ALGORITHM

3.5 REASONING WITH UNCERTAINTY IN AI

3.5 REASONING WITH UNCERTAINTY IN AI

4.5.2 OPTIMAL BINARY SEARCH TREE EXAMPLE

4.5.2 OPTIMAL BINARY SEARCH TREE EXAMPLE

4.5.1 OPTIMAL BINARY SEARCH TREE PROBLEM

4.5.1 OPTIMAL BINARY SEARCH TREE PROBLEM

4.4.2 MATRIX CHAIN MULTIPLICATION EXAMPLE

4.4.2 MATRIX CHAIN MULTIPLICATION EXAMPLE

3.4 KNOWLEDGE REPRESENTATION USING SCRIPTS

3.4 KNOWLEDGE REPRESENTATION USING SCRIPTS

3.3 KNOWLEDGE REPRESENTATION USING FRAMES

3.3 KNOWLEDGE REPRESENTATION USING FRAMES

4.4.1 MATRIX CHAIN MULTIPLICATION PROBLEM | ALGORITHM

4.4.1 MATRIX CHAIN MULTIPLICATION PROBLEM | ALGORITHM

3.2 PARTITIONED SEMANTIC NETWORKS

3.2 PARTITIONED SEMANTIC NETWORKS

3.1 KNOWLEDGE REPRESENTATION USING SEMANTIC NETWORKS

3.1 KNOWLEDGE REPRESENTATION USING SEMANTIC NETWORKS

4.3.2 LCS EXAMPLE

4.3.2 LCS EXAMPLE

4.3.1 LCS ALGORITHM

4.3.1 LCS ALGORITHM

4.2 PRINCIPLE OF OPTIMALITY

4.2 PRINCIPLE OF OPTIMALITY

One Day National Webinar on NAAC Assessment and Accreditation Guidelines in Post COVID-19 Era

One Day National Webinar on NAAC Assessment and Accreditation Guidelines in Post COVID-19 Era

2.17 REASONING IN AI

2.17 REASONING IN AI

Algo Simplified Live Stream

Algo Simplified Live Stream

4.1 Dynamic Programming

4.1 Dynamic Programming

2.16 BACKWARD CHAINING

2.16 BACKWARD CHAINING

3.7.4 BELLMAN FORD ALGORITHM | SHORTEST PATH ALGORITHM

3.7.4 BELLMAN FORD ALGORITHM | SHORTEST PATH ALGORITHM

2.15 FORWARD CHAINING IN AI

2.15 FORWARD CHAINING IN AI

3.7.3 DIJKSTRA'S ALGORITHM | SHORTEST PATH ALGORITHM

3.7.3 DIJKSTRA'S ALGORITHM | SHORTEST PATH ALGORITHM

2.14 RESOLUTION EXAMPLE - 3

2.14 RESOLUTION EXAMPLE - 3

2.13 RESOLUTION EXAMPLE - 2

2.13 RESOLUTION EXAMPLE - 2

3.7.2 INITIALIZE SINGLE SOURCE AND RELAX FUNCTION | SHORTEST PATH PROBLEMS

3.7.2 INITIALIZE SINGLE SOURCE AND RELAX FUNCTION | SHORTEST PATH PROBLEMS

2.12 RESOLUTION EXAMPLE - 1

2.12 RESOLUTION EXAMPLE - 1

3.7.1 SHORTEST PATH ALGORITHMS | PROBLEMS

3.7.1 SHORTEST PATH ALGORITHMS | PROBLEMS

3.6.3 PRIM'S ALGORITHM

3.6.3 PRIM'S ALGORITHM

2.11 RESOLUTION IN PREDICATE LOGIC

2.11 RESOLUTION IN PREDICATE LOGIC

3.6.2 KRUSKAL'S ALGORITHM

3.6.2 KRUSKAL'S ALGORITHM

3.6.1 MINIMUM SPANNING TREE

3.6.1 MINIMUM SPANNING TREE

2.10 PREDICATE LOGIC EXAMPLES

2.10 PREDICATE LOGIC EXAMPLES

3.5 ACTIVITY SELECTION PROBLEM

3.5 ACTIVITY SELECTION PROBLEM

3.4 HUFFMAN CODE PROBLEM

3.4 HUFFMAN CODE PROBLEM

2.9 KNOWLEDGE REPRESENTATION USING PREDICATE LOGIC | FIRST ORDER LOGIC

2.9 KNOWLEDGE REPRESENTATION USING PREDICATE LOGIC | FIRST ORDER LOGIC

2.8 KNOWLEDGE REPRESENTATION TECHNIQUES IN AI

2.8 KNOWLEDGE REPRESENTATION TECHNIQUES IN AI

3.3 JOB SEQUENCING WITH DEADLINE PROBLEM

3.3 JOB SEQUENCING WITH DEADLINE PROBLEM

2.7 ISSUES IN KNOWLEDGE REPRESENTATION COMPRESSED

2.7 ISSUES IN KNOWLEDGE REPRESENTATION COMPRESSED

3.2 FRACTIONAL KNAPSACK PROBLEM

3.2 FRACTIONAL KNAPSACK PROBLEM

2.6 APPROACHES TO KNOWLEDGE REPRESENTATION

2.6 APPROACHES TO KNOWLEDGE REPRESENTATION

3.1 GREEDY ALGORITHMS BASIC STRATEGY

3.1 GREEDY ALGORITHMS BASIC STRATEGY

2.7.3.2 AMORTIZE ANALYSIS PART 3 ( POTENTIAL METHOD INCREMENTING BINARY COUNTER )

2.7.3.2 AMORTIZE ANALYSIS PART 3 ( POTENTIAL METHOD INCREMENTING BINARY COUNTER )

2.5.2 A * ALGORITHM EXAMPLE

2.5.2 A * ALGORITHM EXAMPLE

2.7.3.1 AMORTIZE ANALYSIS PART 3 ( POTENTIAL METHOD - STACK OPERATION )

2.7.3.1 AMORTIZE ANALYSIS PART 3 ( POTENTIAL METHOD - STACK OPERATION )

2.5 A* ALGORITHM

2.5 A* ALGORITHM

2.7.2.2 AMORTIZE ANALYSIS PART - 2 (ACCOUNTING METHOD INCREMENTING BINARY NUMBER)

2.7.2.2 AMORTIZE ANALYSIS PART - 2 (ACCOUNTING METHOD INCREMENTING BINARY NUMBER)

2.4 BEST FIRST SEARCH ALGORITHM

2.4 BEST FIRST SEARCH ALGORITHM

2.7.2.1 AMORTIZE ANALYSIS PART - 2 (ACCOUNTING METHOD STACK OPERATIONS )

2.7.2.1 AMORTIZE ANALYSIS PART - 2 (ACCOUNTING METHOD STACK OPERATIONS )

1.1 INTRODUCTION TO ARTIFICIAL INTELLIGENCE

1.1 INTRODUCTION TO ARTIFICIAL INTELLIGENCE

2.7.1.2 AMORTIZE ANALYSIS PART-1( AGGREGATE METHOD INCREMENTING BINARY NUMBER )

2.7.1.2 AMORTIZE ANALYSIS PART-1( AGGREGATE METHOD INCREMENTING BINARY NUMBER )

2.3 BLOCKS WORLD PROBLEM USING HILL CLIMBING ALGORITHM

2.3 BLOCKS WORLD PROBLEM USING HILL CLIMBING ALGORITHM

2.7.1.1 AMORTIZE ANALYSIS PART 1 ( AGGREGATE METHOD STACK OPERATIONS )

2.7.1.1 AMORTIZE ANALYSIS PART 1 ( AGGREGATE METHOD STACK OPERATIONS )

2.2 LIMITATIONS OF HILL CLIMBING ALGORITHM

2.2 LIMITATIONS OF HILL CLIMBING ALGORITHM

2.6.3 STRASSEN MATRIX MULTIPLICATION PART 3 ( COMPLEXITY ANALYSIS)

2.6.3 STRASSEN MATRIX MULTIPLICATION PART 3 ( COMPLEXITY ANALYSIS)

2.6.2 STRASSEN MULTIPLICATION PART - 2 ( EXAMPLE)

2.6.2 STRASSEN MULTIPLICATION PART - 2 ( EXAMPLE)

2.6.1 STRASSEN MATRIX MULTIPLICATION PART - 1 ( ALGORITHM )

2.6.1 STRASSEN MATRIX MULTIPLICATION PART - 1 ( ALGORITHM )

2.5.3 QUICK SORT PART- 3 ( Complexity Analysis )

2.5.3 QUICK SORT PART- 3 ( Complexity Analysis )

2.5.2 QUICK SORT PART 2 ( Step-wise Illustration)

2.5.2 QUICK SORT PART 2 ( Step-wise Illustration)

2.1 HILL CLIMBING ALGORITHM IN AI

2.1 HILL CLIMBING ALGORITHM IN AI

2.5.1 QUICK SORT PART - 1 ( Partition Procedure )

2.5.1 QUICK SORT PART - 1 ( Partition Procedure )

2.4.3 MERGE SORT PART 3 ( Complexity Analysis)

2.4.3 MERGE SORT PART 3 ( Complexity Analysis)

2.4.2 MERGE SORT PART - 2 ( STEP WISE ILLUSTRATION)

2.4.2 MERGE SORT PART - 2 ( STEP WISE ILLUSTRATION)

2.4.1 MERGE SORT PART-1 ( Merge Procedure)

2.4.1 MERGE SORT PART-1 ( Merge Procedure)

1.7 SEARCH PROCESS IN AI

1.7 SEARCH PROCESS IN AI

2.3 BINARY SEARCH

2.3 BINARY SEARCH

1.6 PROBLEM CHARACTERISTICS IN AI

1.6 PROBLEM CHARACTERISTICS IN AI

2.2 DIVIDE AND CONQUER - BASIC STRATEGY

2.2 DIVIDE AND CONQUER - BASIC STRATEGY

2.1 ASYMPTOTIC NOTATIONS

2.1 ASYMPTOTIC NOTATIONS

1.5 PRODUCTION SYSTEM IN AI

1.5 PRODUCTION SYSTEM IN AI

1.4.2 PROBLEM STATE SPACE SEARCH PART 2

1.4.2 PROBLEM STATE SPACE SEARCH PART 2

1.9 CHANGE OF VARIABLE METHOD

1.9 CHANGE OF VARIABLE METHOD

Algo Simplified Live Stream

Algo Simplified Live Stream

1.8 RECURSION TREE METHOD

1.8 RECURSION TREE METHOD

1.5 MASTER'S THEOREM WITH EXAMPLES

1.5 MASTER'S THEOREM WITH EXAMPLES

1.7 SUBSTITUTION METHOD

1.7 SUBSTITUTION METHOD

1.4.1 PROBLEM STATE SPACE PART-1

1.4.1 PROBLEM STATE SPACE PART-1

1.3 SOLVING LOGARITHMIC RECURRENCES

1.3 SOLVING LOGARITHMIC RECURRENCES

1.6 ITERATION METHOD

1.6 ITERATION METHOD

1.2 SOLVING IN-HOMOGENEOUS RECURRENCE

1.2 SOLVING IN-HOMOGENEOUS RECURRENCE

1.1 SOLVING HOMOGENEOUS RECURRENCE

1.1 SOLVING HOMOGENEOUS RECURRENCE

1.4 MASTER'S THEOREM

1.4 MASTER'S THEOREM