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

Machine learning plays a pivotal role in the development of autonomous vehicles and robots. In the realm of mechanical ...

Education Needed: Bachelor’s or master’s degree in computer science, software engineering, data science, machine learning, mathematics or statistics Career Overview: These roles vary based on ...

Data Science: An interdisciplinary field that combines statistical analysis, machine learning and domain expertise to extract actionable insights from complex data sets.

Career Outlook Get your career started by working in one of the following roles: Data Scientist, Software Developer, Machine Learning Engineer, Natural Language Processing Engineer, Data Analyst, ...

MS in Data Science at CU Boulder The last decade has seen an explosion of data generation from individuals, businesses and institutions worldwide. As these organizations increasingly rely on ...

Companies that are making significant headway with machine learning are ones that have invested heavily in developing or acquiring appropriate skills, such as data scientists and data engineers.

Despite this hype around the state of the art, the state of the practice is less futuristic. Software engineers and data scientists working with machine learning still use many of the same ...

A graduate degree program in machine learning engineering allows you to best leverage data and incorporate the coming wave of automation in all its varieties, and understand and explore the potential ...

Graduates of this programme will be equipped for impactful roles such as Data Scientist, Data Engineer, Machine Learning Engineer, and more, positioning them at the forefront of technological ...