Discretization algorithms serve as a critical pre-processing step within data mining and machine learning, transforming continuous attributes into discrete categories to enhance the ...

Course Description ELEN 520: This course covers modern machine learning theory and techniques that can be applied to make informed data-driven decisions. Instead of manually analyzing data, machine ...

Module 1 | Introduction to Machine Learning, Linear Regression This week, we will build our supervised machine learning foundation. Data cleaning and Exploratory Data Analysis (EDA) might not seem ...

From there, it will progress to provide an introduction to machine learning and data mining methods from a statistical perspective. In this framework, machine learning will be conceptualised as ...

This course offers students a practical introduction to using Machine Learning algorithms, tools, and techniques for solving problems that fall under the umbrella of Data Science.

Devoted to faculty and students that are interested in developing new machine learning algorithms and techniques, and seek to deepen our understanding of existing ones. Machine learning provides the ...

Two novel machine learning techniques are able to identify new, deeply buried porphyry copper deposits by characterizing magma fertility.

Artificial intelligence and machine learning are being adopted at a rapid clip, and the management headaches are just about to begin.

Machine learning and data mining are emerging fields between statistics and computer science which focus on the statistical objectives of prediction, classification and clustering and are particularly ...