TCP (Transmission Control Protocol) is used for reliable data transmission, ensuring that data packets are delivered in order and without errors.

AVL trees are more strictly balanced than Red-Black trees, which allows for faster lookups.

Dynamic programming helps to optimize the total value of items that can be carried in the knapsack without exceeding its weight limit.

The '0/1' in the 0/1 Knapsack problem signifies that each item can either be taken (1) or left (0), meaning items cannot be divided or taken multiple times.

The dynamic programming approach optimizes the maximum value that can be obtained without exceeding the weight limit.

The dynamic programming table in the 0/1 Knapsack problem represents the maximum value that can be obtained for each weight limit.

A greedy algorithm for the coin change problem typically takes the largest denomination first to minimize the number of coins.

Precision measures the ratio of true positive predictions to the total predicted positives, indicating the accuracy of positive predictions.

True Positive refers to the cases where the model correctly predicts the positive class.

Precision measures the ratio of true positives to the total predicted positives, indicating the accuracy of positive predictions.

ROC stands for Receiver Operating Characteristic, which is a graphical representation of a classifier's performance.

The curse of dimensionality encompasses all these challenges, making clustering in high-dimensional spaces difficult.

Density-based clustering forms clusters based on the number of points in a specified region, allowing for arbitrary shapes.

Stride refers to the step size of the filter during convolution, determining how much the filter moves across the input image.

Feature importance refers to the contribution of a feature to the model's predictions, indicating how much it helps in making accurate decisions.

Pruning is the process of removing branches from a Decision Tree to prevent overfitting and improve generalization.

Relaxation refers to the process of updating the shortest known distance to a node if a shorter path is found through another node.

Relaxation refers to the process of updating the shortest known distance to a node if a shorter path is found.

The 'tentative distance' refers to the distance calculated from the source to a node, which may be updated as shorter paths are found.

Relaxation involves updating the distance to a vertex if a shorter path is found through another vertex.

Relaxation refers to the process of updating the distance estimate of a vertex when a shorter path is found.

Memoization is a technique used in dynamic programming to store the results of expensive function calls and reuse them when the same inputs occur again.

Optimal substructure means that the solution to a problem can be constructed from optimal solutions of its subproblems.

Overlapping subproblems refer to the situation where the same subproblems are solved multiple times in the process of solving a larger problem.

Tabulation refers to the method of storing results in a table (array) to avoid redundant calculations in dynamic programming.

Memoization refers to the technique of storing the results of expensive function calls and returning the cached result when the same inputs occur again.

Overlapping subproblems refer to problems that can be broken down into smaller subproblems that are reused multiple times in the computation.

In dynamic programming, 'state' refers to a specific configuration of the problem that can be solved using previously computed states.

Memoization is a technique used in dynamic programming to store the results of expensive function calls and reuse them when the same inputs occur again, thus optimizing the computation.

Recall, also known as sensitivity, measures the proportion of actual positives that are correctly identified.