Articulate the primary interpretations of probability theory and the role these interpretations play in Bayesian inference Use Bayesian inference to solve real-world statistics and data science ...

This course introduces the theoretical, philosophical, and mathematical foundations of Bayesian Statistical inference. Students will learn to apply this foundational knowledge to real-world data ...

We now live in a world where it seems that everything about us is (or soon will be) tracked and recorded: what we eat, what we watch, how we socialize, what we like and dislike, our vital health ...

Impactful research meets innovative educational programs in Statistics and Data Sciences, the college’s newest and fastest-growing department. Using novel statistics and machine learning methods to ...

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 ...

The Statistics and Data Science concentration equips students to use data science to solve complex problems with data and drive important decision-making processes to add value to an organization.

The Bachelor of Science in Statistics and Data Science is the college’s newest major. The curriculum is designed to equip students to execute all stages of a data analysis, from data acquisition and ...

Dataiku’s end-to-end machine learning platform combines visual tools, notebooks, and code to address the needs of data scientists, data engineers, business analysts, and AI consumers. Dataiku Data ...

Learn how cosine similarity works and how to use it in data science, machine learning, and NLP tasks. Practical examples included. #CosineSimilarity #DataScience #MachineLearning ...