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

What do data scientists do? According to interviews with more than 30 data scientists, data science is about infrastructure, testing, using machine learning for decision making, and data products.

Data applications are where the 'sexy stuff' like predictive analysis, data mining and machine learning happen. This is the part where we take all this data and do something really amazing with it.

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 ...

With over 17 years of experience, Jeevan has made significant contributions to the field, helping organizations make sense of vast data landscapes, deploying advanced machine learning models, and ...

Data scientists and epidemiologists are working together to develop a tool that will forecast the number of patients who will contract the novel coronavirus using big data, machine learning and ...

With the emergence of AI, cloud computing and machine learning, the future for data science is bright and many data science salaries are six figures. Data analysts earn a median annual salary of ...

But if you do have data, especially if you have a lot of it, machine learning is an extremely powerful tool for processing it. Halverson incorporates machine learning into his string theory work. The ...

Probabilistic topic modeling—a machine learning tool traditionally used to identify themes from written documents—provided the UChicago team with a strategy. TopicVelo groups scRNA-seq data not by the ...