Forbes contributors publish independent expert analyses and insights. Writes about the future of finance and technology, follow for more. We live in a world where machines can understand speech, ...

Successful completion of this course demonstrate your achievement of the following learning outcomes for the MS-DS program: Define a composite hypothesis and the level of significance for a test with ...

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 ...

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 ...

In an era when data-driven decisions and systems influence every sector of business and society, talented professionals who bring an ethical framework to data science are more in demand than ever. The ...

Design thinking is critical for developing data-driven business tools that surpass end-user expectations. Here's how to apply the five stages of design thinking in your data science projects. What is ...

Data that’s captured isn’t always stored, and storage alone doesn’t get the job done. Many transportation agencies are sitting on troves of data they’re not sure how to interpret. Even when vendors ...

eSpeaks’ Corey Noles talks with Rob Israch, President of Tipalti, about what it means to lead with Global-First Finance and how companies can build scalable, compliant operations in an increasingly ...

MLDS requires candidates to provide three letters of recommendation. Recommendation letters should be from professional supervisors, academic instructors, and/or research advisors. The ideal balance ...