Forbes contributors publish independent expert analyses and insights. Entrepreneur and technologist in AI and AI Literacy. AI is everywhere. The advances in AI have benefited virtually every ...

Building fast and highly performant data science applications requires an intimate knowledge of how data can be organized in a computer and how to efficiently perform operations such as sorting, ...

In his 1960 book Theory and Design in the First Machine Age, the critic and historian Reyner Banham presciently noted a growing chasm between technological change and the capacity of designers to ...

*Note: This course description is only applicable for the Computer Science Post-Baccalaureate program. Additionally, students must always refer to course syllabus for the most up to date information.

Both fields are in high demand, pay well, and lead to exciting, future-proof careers. If you're deciding between becoming a data scientist or an AI engineer, the choice often comes down to what ...

Statistics is the science of learning from data. The theoretical foundation of statistics lies in probability theory, which is applied to decision-making under uncertainty. Data science consists of ...