As AI systems become more a part of our daily lives, the demand for people skilled in working with and building these systems will keep growing. In the past, data scientists were essential for ...

Data science aims to explore large amounts of structured and unstructured data sets – ‘big data’ – to design models and algorithms which can predict trends and guide decision-making. This field ...

Michele Tobias is a data scientist at the University of California, Davis, DataLab. Data science is increasingly an integral part of research. But data scientists can wear many hats: interdisciplinary ...

In 2019, Simmons & Simmons became one of the first law firms to buy a legal tech company when it acquired legal engineering business Wavelength. Since then, the firm has used the data science team at ...

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

Data scientists are in such high demand that the role has been described by Harvard Business Review as "the sexiest job of the twenty-first century." In an age of artificial intelligence (AI) and ...

WEST LAFAYETTE, Ind. — Data scientists who can make sense of today’s epic floods of data to generate actionable insights and communicate them to a variety of audiences are in demand in almost any ...

Garrett Andrews is an adjunct faculty member in the Department of Political Science at Portland Community College where he teaches State and Local Government. With five years of experience as a writer ...

What’s the difference between a data scientist and a data engineer? Quick access to the data-driven insights keeps the world’s best companies at the top of their game. But that data doesn’t just ...

Imagine you are developing antibodies—drugs precisely aimed at a target, for example a viral protein or onco-marker. You test a series of antibodies and find that some work, while others do not.