Discover what black box models are, their applications in finance and investing, and examples of how they drive ...

So are humans and algorithms mutually exclusive then? Not necessarily! Consider that for many of us, the most familiar example of a machine-learning algorithm is probably the Facebook news feed.

It’s the most high-profile example of how algorithms affect our lives, because many of us use Facebook every single day, and the media, largely impacted by changes to the algorithm, will always ...

Algorithms are proprietary though, and monopolistic within their context (a customer can’t select the algorithm they want to use to assess their credit, for instance).

Why do these algorithms need to be quantum resistant? Cryptographic algorithms are able to keep data secret because they are mathematically intensive to break.

Deep learning applications There are many examples of problems that currently require deep learning to produce the best models. Natural language processing (NLP) is a good one.

So for example, on Facebook, which is most people's experience with an algorithm, the only thing you can do to signal to the algorithm that you care about something is to either click on "Like" or ...

The expectation maximization algorithm arises in many computational biology applications that involve probabilistic models. What is it good for, and how does it work?