Is the term Machine Intelligence going to take over the terms Artificial Intelligence and Machine Learning? originally appeared on Quora: the place to gain and share knowledge, empowering people ...

References to machine learning are everywhere -- here's a guide to understanding how it works. Subscribe ... Big data, is, essentially, exactly what it's called: a ton of data.

Machine learning (ML) is the study of computer systems that automatically improve with experience, a hot topic in the last few years, but a concept that's been ...

The terms ‘machine learning’ and ‘deep learning’ are used a lot these days. What exactly do they mean, in layman’s terms? “Machine learning refers to specific techniques within the broader field of AI ...

But machine learning is more than just saving a file. When an AI learns, it changes its own assumptions or even its process. The most common training algorithm for neural nets (at least, as of ...

In my last article I wrote about the difference between AI and Machine Learning (ML). While ML is often described as a sub-discipline of AI, it’s better to think of it as the current state-of ...

The bias-variance balance: A critical machine learning concept. ... use it to predict exactly what you’ll want to buy next, while security systems stay on alert 24/7, flagging suspicious activity.

Once a machine learning algorithm learns what specific patterns look like, it can apply the knowledge on a vast scale. For example, a fraud detection machine learning algorithm may miss a few false ...

Game-playing machine learning is strongly successful for checkers, chess, shogi, and Go, having beaten human world champions. Automatic language translation has been largely successful, although ...

Machine learning algorithms are used in many industries, such as finance, healthcare and so on. Content marketing is one of the most popular industries where machine learning can be applied.