Semi-supervised and unsupervised learning methods seek to extract structure and predictive power from data when labelled examples are scarce or absent. Unsupervised learning targets patterns and ...

Machine learning, the subset of artificial intelligence that teaches computers to perform tasks through examples and experience, is a hot area of research and development. Many of the applications we ...

Advancements in healthcare analytics can benefit both doctors and patients, as they can help detect and diagnose diseases early on, ultimately improving healthcare quality and patient outcomes. The ...

The training process for artificial intelligence (AI) algorithms is designed to be largely automated innately. There are often thousands, millions or even billions of data points and the algorithms ...

Supervised learning is responsible for most of the AI you interact with. Your phone, for example, can tell if the picture you’ve just taken is food, a face, or your pet because it was trained to ...

Unsupervised learning is used mainly to discover patterns and detect outliers in data today, but could lead to general-purpose AI tomorrow Despite the success of supervised machine learning and deep ...

Describe the concept of topic modeling and related terminology (e.g., unsupervised machine learning) Apply topic modeling to marketing data via a peer-graded project Apply topic modeling to a variety ...

Start working toward program admission and requirements right away. Work you complete in the non-credit experience will transfer to the for-credit experience when you ...