But machine learning comes in many different flavors. In this post, we will explore supervised and unsupervised learning, the two main categories of machine learning algorithms.

AI hype has researchers in fields from medicine to political science rushing to use techniques that they don’t always understand—causing a wave of spurious results.

Unsupervised machine learning explores data to find new patterns without set goals. It fuels advancements in tech fields like autonomous driving and content recommendations. Investors can use ...

If you are an aspiring data scientist, you may have come across the terms artificial intelligence (AI), machine learning, deep learning and neural networks.

Tulasi Naga Subhash Polineni is a seasoned Oracle Cloud Integration Specialist with over 11 years of experience in applying ...

Here are the differences between supervised, semi-supervised, and unsupervised learning -- and how each is valuable in the enterprise.

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.

The data science and machine learning technology space is undergoing rapid changes, fueled primarily by the wave of generative AI and—just in the last year—agentic AI systems and the large ...

As the use of big data grows, data protection and AI’s role in smart management of data are becoming increasing concerns. In the near future, a trend in the data tech field is more than reactions or ...

A very quick note on machine learning Before we dive into supervised and unsupervised learning, let’s have a zoomed-out overview of what machine learning is.