Instructor: Roland Doku, Ph.D. Part II will build on concepts discuss in Part I. We will go through examples of how to conduct an A/B test on a real-world use […]
Instructor: Roland Doku, Ph.D. Part II will build on concepts discuss in Part I. We will go through examples of how to conduct an A/B test on a real-world use […]
Instructor: TBD. Topics to be determined.
Instructor: TBD. Topics to be determined.
Instructor: Ebelechukwu Nwafor, PhD This two-part module delves into the core principles of machine learning. In Part I, students will learn about supervised learning techniques, covering linear regression, classification, and […]
Instructor: Ebelechukwu Nwafor, PhD This two-part module delves into the core principles of machine learning. In Part I, students will learn about supervised learning techniques, covering linear regression, classification, and […]
Instructor: Ebelechukwu Nwafor, PhD Part II builds on these basics from Part I, introducing unsupervised learning techniques such as clustering and dimensionality reduction. The module will also cover key concepts […]
Instructor: Ebelechukwu Nwafor, PhD Part II builds on these basics from Part I, introducing unsupervised learning techniques such as clustering and dimensionality reduction. The module will also cover key concepts […]
