In this article, learn the five key features of machine learning that make it a powerful tool for solving a broad set of problems, from image and speech recognition to recommendation systems and ...

Machine learning uses algorithms to turn a data set into a model that can identify patterns or make predictions from new data. Which algorithm works best depends on the problem.

An experimental approach guided by a feature selection algorithm is introduced in the framework to select an optimal feature set for improving the machine learning performance. The verification of ...

Amid all the hype and hysteria about ChatGPT, Bard, and other generative large language models (LLMs), it’s worth taking a step back to look at the gamut of AI algorithms and their uses.After ...

Similarly, a learning algorithm could be left alone to create its own rules that will apply when it is provided with a large set of the object–like a group of apples, and the machine figures out ...

A special category of algorithms, machine learning algorithms, try to “learn” based on a set of past decision-making examples. Machine learning is commonplace for things like recommendations ...

Agriculture was influential since ages in the development of human civilization. It is the backbone of our economic system and relies heavily on horticulture. To increase their productivity, various ...

In recent years, machine learning (ML) algorithms have proved themselves to be remarkably useful in helping people deal with different tasks: data classification and clustering, pattern revealing ...

T he algorithms that underlie modern artificial-intelligence (AI) systems need lots of data on which to train.Much of that data comes from the open web which, unfortunately, makes the AIs ...