Op-ed: a computer scientist weighs in on the downsides of AI. This is what's important: machine-learning systems—"algorithms"—produce outputs that reflect the training data over time.

I'm going to explain to you how I mastered data structures and algorithms quickly without hating my life. Now, I say that ...

Today, computer programs use machine-learning algorithms to study piles of data and learn about the world and its people. Algorithms can tell a banker whether someone will pay back a loan.

Crunch numbers to the nth degree — and see what happens. When you study computer science and mathematics, you’ll use algorithms and computational theory to create mathematical models or define ...

Nelson’s algorithms often use a technique called sketching, which compresses big data sets into smaller components that can be stored using less memory and analyzed quickly. For example, in 2016 ...

To the press, policymakers and general public, the data-driven revolution is presented as the search for “truth” through data and algorithms.

How computer algorithms shape our experience of the real world. ScienceDaily . Retrieved June 2, 2025 from www.sciencedaily.com / releases / 2016 / 08 / 160802104157.htm ...

The word AI is bandied about by many a technology vendor but some mask algorithms as AI. We asked experts to help you cut through the hype. Artificial intelligence (AI) is here, and it’s growing ...

3. Use big data and analytics to accomplish both. Budgets for advanced analytics and AI, and algorithmic selling are growing in double and triple digits and now make up over 10% of the growth formula.

Predictive algorithms, at their most basic, work by using historical data to calculate a probability of future events, similar to how a sports book determines odds for a game or pollsters forecast ...