Machine learning uses algorithms to turn a data set into a model that can identify patterns or make predictions from new data. Which algorithm works best depends on the problem.

Specialization: Machine LearningInstructor: Geena Kim, Assistant Teaching ProfessorPrior knowledge needed: Calculus, Linear algebra, PythonLearning Outcomes Explain what unsupervised learning is, and ...

To help get a better understanding of how machine learning algorithms arrive at their decisions, the IBM team created a system for "contrastive explanations"–looking for information that was ...

Using real purchase data in addition to their digital activity, businesses may create consumer groups by using K-means clustering algorithms. Unsupervised machine learning widely uses K-means ...

Artificial Intelligence (AI) has a problem -- it’s artificial. To be fair, AI and its sister disciplines of machine learning, cognitive computing, sentiment analysis and neural networking have a ...