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

Want to learn how to become a machine learning engineer? Use our guide to discover the career path and requirements for machine learning engineers.

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

There is some overlap between the roles of a machine learning engineer and a data scientist. Likewise, you might be required to call upon skills such as data mining, predictive analytics ...

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

At the center of any machine learning project lie the machine learning engineers. With backgrounds and skills in data science, applied research and heavy-duty coding, they run the operations of a ...

Big data engineers develop, maintain, test, and evaluate big data solutions within organizations. Duties include resolving ambiguities in data, performance optimization, and data extraction. Big data ...

DATA_ENG 300 Data Engineering Studio Machine learning track*: COMP_SCI 111 Fundamentals of Computer Programming I COMP_SCI 214 Data Structures and Algorithms COMP_SCI 348 Intro to Artificial ...