Supervised learning, the most developed form of machine learning, starts with the preparation of labeled training data that are rich and representative (e.g., a large number of typical “spam” or ...

With all the quickly evolving nomenclature in the industry today, it’s important to be able to differentiate between AI, machine learning and deep learning. The simplest way to think of their ...

"What's the difference between mathematical optimization and machine learning?" This is a question that — as the CEO of a mathematical optimization software company — I get asked all the time.

While a career in technology may naturally lead you to consider studying engineering or computer science, in today’s world of predictive marketing, cloud computing and globalized thinking, jobs ...

When a conversation turns to analytics or big data, the terms structured, semi-structured and unstructured might get bandied about. These are classifications of data that are now important to ...

If you are considering careers in Data Analytics or perhaps Data Science and like to know little more about each. You may be interested in this guide which provides more insight into the differences ...

Data science and data analytics: people working in the tech field or other related industries probably hear these terms all the time, often interchangeably. However, although they may sound similar, ...

In today’s tech-driven world, terms like Machine Learning (ML) and Deep Learning (DL) are everywhere, from social media recommendations to self-driving cars. But what do they actually mean, and how ...