This course is available with permission as an outside option to students on other programmes where regulations permit. Machine learning and data mining are emerging fields between statistics and ...

This may mean that you’re not able to get a place on this course. Machine learning and data mining are emerging fields between statistics and computer science which focus on the statistical objectives ...

This course is part of a three-course sequence on statistical learning models, which also includes Predictive Analytics I and Predictive Analytics II. This course ...

Applied statistics and statistical learning (ASSL) is the process of using data relationships and computer ... We focus on the design of algorithms and analysis in statistical modeling, data mining, ...

This online data science specialization is intended for both data science professionals and domain experts who want to learn about fundamental concepts and core techniques in data mining for ...

Data mining has been defined as “the nontrivial extraction of implicit, previously unknown, and potentially useful information from data”. 1 In areas other than the life sciences and ...

This week starts with an overview of this course, Data Mining Methods, then focuses on frequent pattern analysis, including the Apriori algorithm and FP-growth algorithm for frequent itemset mining, ...

The Statistical & Data Sciences (SDS) Program links faculty and students from across the college interested in learning things from data. At Smith, students learn statistics by doing—class time ...