Expressing an algorithm in a flow chart allows us to visualize the algorithm at a high level, plus it forces us to think very carefully about sequencing and selection.

Here is how the entire quicksort algorithm unfolds. Array locations in blue have been pivots in previous recursive calls, and so the values in these locations will not be examined or moved …

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By understanding algorithms, we can make better decisions about which existing algorithms to use and learn how to make new algorithms that are correct and efficient. An algorithm is made …

In the next challenge, you'll focus on implementing the overall merge sort algorithm, to make sure you understand how to divide and conquer recursively. After you've done that, we'll dive …

In the graph above, each local minimum has its own valley that would trap a gradient descent algorithm. After all, the algorithm only ever tries to go down, so once it finds a point where …

Let's think about the running time of an algorithm more carefully. We can use a combination of two ideas. First, we need to determine how long the algorithm takes, in terms of the size of its …

Computer scientists like to consider whether an algorithm works in place, because there are some systems where space is at a premium, and thus in-place algorithms are preferred.

Begin your journey into computational problem-solving. This unit introduces you to algorithms and their representation.

Course: AP®︎/College Computer Science Principles > Unit 5 Lesson 3: Bias in machine learning Machine learning algorithms Bias in predictive algorithms Bias in facial recognition Bias in …