Algorithmic complexity, a cornerstone of theoretical computer science, examines the intrinsic resource requirements of computational problems and the limits of what can be efficiently computed. Within ...

Decision trees, while powerful, are a simple representation scheme. While graphical on the surface, they can be seen as disjunctions of conjunctions, and hence are a logical representation, and we ...

Defining a “threshold” is a central yet often overlooked aspect of algorithmic system design. This blog post illustrates how setting a threshold in an AI-assisted textual analysis tool reveals both ...

Learn about the most prominent types of modern neural networks such as feedforward, recurrent, convolutional, and transformer networks, and their use cases in modern AI. Neural networks are the ...

We saw in the previous lecture that perceptrons have limited scope in the type of concepts they can learn - they can only learn linearly separable functions. However, we can think of constructing ...