Machine learning depends on a number of algorithms for turning a data set into a model. Which algorithm works best depends on the kind of problem you’re solving, the computing resources ...

This is a less popular type of machine learning algorithm, but in many ways, it is both the easiest to understand and the most powerful. Meta-learning is an algorithm that essentially learns how ...

Opinion: Lidiya Mishchenko and Pooya Shoghi explain how to bridge a gap preventing successful patent claims to protect new ...

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.

Machine-learning algorithms use statistics to find patterns in massive* amounts of data. And data, here, encompasses a lot of things—numbers, words, images, clicks, what have you.

Machine learning typically requires tons of examples. To get an AI model to recognize a horse, you need to show it thousands of images of horses. This is what makes the technology computationally ...

Google’s machine learning-related algorithms. All the major search engines use machine learning in one or many ways. In fact, Microsoft is producing some significant breakthroughs.So are social ...

The learning curve for implementing machine learning solutions is generally steep, so you’ll need a solid understanding of statistics, data science, and algorithm development.