The web is an ocean where data scientists can gather lots of useful and interesting data. However, this vastness usually means that data comes in a rather messy format

Welcome to the final installment of my three-part series on the Sortino ratio, a metric for measuring the return you are likely to get from a given level of risk

For someone working or trying to work in data science, statistics is probably the biggest and most intimidating area of knowledge you need to develop

Data scientists use many different kinds of machine learning algorithms to discover patterns in big data that lead to actionable insights

machine learning is something like a process of probability, where a machine build up experience from previous results of the same process and then react.

The fact is, most companies just don’t know what to do with the majority of the data they’re collecting. So it just sits there.

How automisation, machine learning and artificial intelligence could save the oil industry from itself

While Silicon Valley has been investing in artificial intelligence over the last decade-plus, AI-driven asset management is just starting to get some love from investors.

La classification est une des tâches centrales de l’étape de fouille de données dans le processus d’extraction de connaissances dans les bases de données.