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 ...

These quantum machine learning algorithms can handle high-dimensional data and complex patterns that traditional machine learning algorithms struggle to address.

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 ...

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.

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 ...