AI and Meta-Heuristics (Combinatorial Optimization) Python
Language: English | Size:5.13 GB
Genre:eLearning
Files Included :
1 Introduction.mp4 (21.24 MB)
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1 Simulated annealing implementation I.mp4 (20.23 MB)
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2 Simulated annealing implementation II.mp4 (51.3 MB)
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3 Simulated annealing implementation III.mp4 (44.52 MB)
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1 What is the travelling salesman problem (TSP).mp4 (26.05 MB)
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2 Travelling salesman problem implementation I.mp4 (39.12 MB)
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3 Travelling salesman problem implementation II.mp4 (42.28 MB)
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4 Travelling salesman problem implementation III.mp4 (61.16 MB)
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5 Travelling salesman problem implementation IV.mp4 (25.79 MB)
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1 What is the Sudoku problem.mp4 (27.01 MB)
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2 Sudoku problem implementation I.mp4 (64.96 MB)
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3 Sudoku problem implementation II.mp4 (92.24 MB)
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4 Sudoku problem implementation III.mp4 (52.33 MB)
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5 Sudoku problem implementation IV.mp4 (30.55 MB)
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1 Genetic algorithms introduction - basics.mp4 (25.43 MB)
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2 Genetic algorithms introduction - chromosomes.mp4 (18.93 MB)
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3 Genetic algorithms introduction - crossover.mp4 (23.72 MB)
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4 Genetic algorithms introduction - mutation.mp4 (20.74 MB)
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5 Genetic algorithms introduction - selection.mp4 (17.08 MB)
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6 Genetic algorithms introduction - the algorithm.mp4 (11.75 MB)
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7 What is elitism.mp4 (12.32 MB)
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8 Advantages and limitations of genetic algorithms.mp4 (23.33 MB)
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1 Genetic algorithm implementation I.mp4 (34.67 MB)
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2 Genetic algorithm implementation II.mp4 (22.46 MB)
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3 Genetic algorithm implementation III.mp4 (87.28 MB)
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4 Genetic algorithm implementation IV.mp4 (42.83 MB)
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5 Genetic algorithm implementation V - elitism.mp4 (54.37 MB)
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1 What is the N-queens problem.mp4 (29.07 MB)
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2 N queens problem implementation I.mp4 (22.76 MB)
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3 N queens problem implementation II.mp4 (59.58 MB)
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2 What is the knapsack problem.mp4 (21.3 MB)
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3 Knapsack problem implementation.mp4 (96.74 MB)
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1 What is swarm intelligence.mp4 (49.04 MB)
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2 Particle swarm optimization introduction - basics.mp4 (40.15 MB)
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3 Particle swarm optimization introduction - the algorithm.mp4 (52.07 MB)
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4 Exploration and exploitation trade-off.mp4 (24.27 MB)
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1 Particle swarm optimization implementation I.mp4 (55.43 MB)
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2 Particle swarm optimization implementation II.mp4 (106.14 MB)
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3 Particle swarm optimization implementation III.mp4 (34.84 MB)
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1 Game trees introduction.mp4 (39.17 MB)
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1 Why to consider graph algorithms.mp4 (15.4 MB)
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1 Minimax algorithm introduction - basics.mp4 (37.62 MB)
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2 Minimax algorithm introduction - the algorithm.mp4 (18.99 MB)
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3 Minimax algorithm introduction - relation to tic-tac-toe.mp4 (19.25 MB)
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4 Alpha-beta pruning introduction.mp4 (35 MB)
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5 Alpha-beta pruning example.mp4 (86.84 MB)
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6 Chess problem.mp4 (29.18 MB)
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1 Tic tac toe implementation I.mp4 (28.02 MB)
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2 Tic tac toe implementation II.mp4 (25.39 MB)
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3 Tic tac toe implementation III.mp4 (49.4 MB)
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4 Tic tac toe implementation IV.mp4 (40.12 MB)
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5 Tic tac toe implementation V.mp4 (37.33 MB)
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6 Tic tac toe implementation VI.mp4 (32.84 MB)
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7 Minimax stack memory visualization.mp4 (47.48 MB)
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8 Tic tac toe implementation VII - pruning.mp4 (23.13 MB)
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2 Applications of reinforcement learning.mp4 (23.28 MB)
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1 Markov decision processes basics I.mp4 (30.77 MB)
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2 Markov decision processes basics II.mp4 (33.1 MB)
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3 Markov decision processes - equations.mp4 (65.54 MB)
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4 Markov decision processes - illustration.mp4 (36.39 MB)
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5 Bellman-equation.mp4 (25.49 MB)
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6 How to solve MDP problems.mp4 (13.91 MB)
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7 What is value iteration.mp4 (31.72 MB)
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8 What is policy iteration.mp4 (14.23 MB)
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1 Exploration vs exploitation problem.mp4 (17.47 MB)
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2 N-armed bandit problem introduction.mp4 (46.05 MB)
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3 N-armed bandit problem implementation.mp4 (61.85 MB)
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4 Applications AB testing in marketing.mp4 (25.84 MB)
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1 What is Q learning.mp4 (26.5 MB)
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2 Q learning introduction - the algorithm.mp4 (34.58 MB)
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3 Q learning illustration.mp4 (45.87 MB)
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1 Tic tac toe with Q learning implementation I.mp4 (19.54 MB)
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2 Tic tac toe with Q learning implementation II.mp4 (39.32 MB)
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3 Tic tac toe with Q learning implementation III.mp4 (50.14 MB)
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4 Tic tac toe with Q learning implementation IV.mp4 (62.13 MB)
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5 Tic tac toe with Q learning implementation V.mp4 (39.41 MB)
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6 Tic tac toe with Q learning implementation VI.mp4 (108.12 MB)
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7 Tic tac toe with Q learning implementation VII.mp4 (53.93 MB)
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8 Tic tac toe with Q learning implementation VIII.mp4 (49.51 MB)
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1 First steps in Python.mp4 (13.68 MB)
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12 Logical operators.mp4 (17.6 MB)
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13 Loops - for loop.mp4 (18.96 MB)
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14 Loops - while loop.mp4 (14.41 MB)
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17 What are nested loops.mp4 (13.16 MB)
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18 Enumerate.mp4 (15.13 MB)
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19 Break and continue.mp4 (20.43 MB)
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2 What are the basic data types.mp4 (15.71 MB)
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20 Calculating Fibonacci-numbers.mp4 (8.39 MB)
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3 Booleans.mp4 (6.78 MB)
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4 Strings.mp4 (28.16 MB)
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5 String slicing.mp4 (25.08 MB)
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6 Type casting.mp4 (16.74 MB)
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7 Operators.mp4 (20.63 MB)
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8 Conditional statements.mp4 (17.81 MB)
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9 How to use multiple conditions.mp4 (31.41 MB)
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1 What are functions.mp4 (17.29 MB)
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10 What are the most relevant built-in functions.mp4 (15.38 MB)
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11 What is recursion.mp4 (35.28 MB)
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14 Local vs global variables.mp4 (15.01 MB)
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15 The main function.mp4 (14.81 MB)
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2 Defining functions.mp4 (18.85 MB)
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3 Positional arguments and keyword arguments.mp4 (46.11 MB)
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4 Returning values.mp4 (8.14 MB)
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5 Returning multiple values.mp4 (12.18 MB)
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8 Yield operator.mp4 (18.29 MB)
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9 Local and global variables.mp4 (8.91 MB)
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1 What is breadth-first search.mp4 (26.9 MB)
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2 Breadth-first search implementation.mp4 (62.5 MB)
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3 Applications of breadth-first search.mp4 (8.12 MB)
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1 How to measure the running time of algorithms.mp4 (37.3 MB)
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12 What are tuples.mp4 (14.73 MB)
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13 Mutability and immutability.mp4 (18.5 MB)
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14 What are linked list data structures.mp4 (34.49 MB)
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15 Doubly linked list implementation in Python.mp4 (24.46 MB)
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16 Hashing and O(1) running time complexity.mp4 (30.98 MB)
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17 Dictionaries in Python.mp4 (38.51 MB)
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18 Sets in Python.mp4 (47.15 MB)
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2 Data structures introduction.mp4 (13.84 MB)
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21 Sorting.mp4 (50.57 MB)
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3 What are array data structures I.mp4 (24.99 MB)
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4 What are array data structures II.mp4 (24.96 MB)
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5 Lists in Python.mp4 (21.74 MB)
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6 Lists in Python - advanced operations.mp4 (39.33 MB)
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7 Lists in Python - list comprehension.mp4 (22.88 MB)
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1 What is object oriented programming (OOP).mp4 (12.51 MB)
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10 Function (method) override.mp4 (18.18 MB)
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11 What is polymorphism.mp4 (21.17 MB)
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12 Polymorphism and abstraction example.mp4 (33.27 MB)
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15 Modules.mp4 (21.79 MB)
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16 The str function.mp4 (15.66 MB)
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17 Comparing objects - overriding functions.mp4 (40.17 MB)
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2 Class and objects basics.mp4 (10.49 MB)
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3 Using the constructor.mp4 (33.59 MB)
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4 Class variables and instance variables.mp4 (30.99 MB)
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7 Private variables and name mangling.mp4 (19.13 MB)
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8 What is inheritance in OOP.mp4 (18.03 MB)
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9 The super keyword.mp4 (21.25 MB)
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1 What is the key advantage of NumPy.mp4 (17.17 MB)
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10 Filter.mp4 (15.24 MB)
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2 Creating and updating arrays.mp4 (33.76 MB)
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3 Dimension of arrays.mp4 (36.26 MB)
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4 Indexes and slicing.mp4 (31.5 MB)
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5 Types.mp4 (19.29 MB)
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6 Reshape.mp4 (33.84 MB)
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9 Stacking and merging arrays.mp4 (27.7 MB)
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2 What are WebCrawlers (core of search engines).mp4 (41.42 MB)
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3 WebCrawler basic implementation.mp4 (70.69 MB)
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1 What is depth-first search.mp4 (32.48 MB)
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2 Depth-first search implementation.mp4 (29.52 MB)
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3 Depth-first search implementation with recursion.mp4 (16.88 MB)
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4 Depth-first search and stack memory visualization.mp4 (19.81 MB)
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5 Memory comparison of graph traversal algorithms.mp4 (15.27 MB)
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6 Applications of depth-first search.mp4 (11.36 MB)
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2 Maze problem introduction.mp4 (14.91 MB)
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3 Maze problem implementation.mp4 (72.31 MB)
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4 Maze problem stack memory visualization.mp4 (20.72 MB)
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1 What is the A search algorithm.mp4 (37.08 MB)
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2 A search illustration.mp4 (29.28 MB)
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3 A search implementation I.mp4 (31.4 MB)
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4 A search implementation II.mp4 (48.87 MB)
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5 A search implementation III.mp4 (17.92 MB)
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6 Path finding algorithms comparison.mp4 (17.74 MB)
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1 What are meta-heuristic approaches.mp4 (33.58 MB)
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1 What is simulated annealing.mp4 (39.69 MB)
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AI and Meta-Heuristics (Combinatorial Optimization) Python.z01
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AI and Meta-Heuristics (Combinatorial Optimization) Python.zip
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