Introduction to Machine Learning | Data Mining | Predictive Analytics

Explore the fundamental concepts of machine learning and data mining. Prepare for research or industry applications with a broad range of models and algorithms.

Introduction

How can a machine learn from experience, to become better at a given task? How can we automatically extract knowledge or make sense of massive quantities of data? These are the fundamental questions of machine learning. Machine learning and data mining algorithms use techniques from statistics, optimization, and computer science to create automated systems which can sift through large volumes of data at high speed to make predictions or decisions without human intervention.

Highlights

• Familiarize with a broad cross-section of models and algorithms for machine learning
• Prepare for research or industry application of machine learning techniques
• Assume basic familiarity with probability and linear algebra
• Primarily use Matlab, but no prior experience with Matlab is assumed

Recommendation

This class is recommended for students interested in machine learning and data mining, with a focus on preparing for research or industry applications. The course covers a wide range of machine learning models and algorithms, and assumes only basic background in probability and linear algebra, making it accessible to a broad audience.