Introduction to algorithms, machine learning and AI The difference between the latest terms being bandied around the industry.

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 ...

Use modern machine learning tools and python libraries. Explain how to deal with linearly-inseparable data. Compare logistic regression’s strengths and weaknesses. Explain what decision tree is & how ...

CSCA 5622: Introduction to Machine Learning: Supervised Learning CSCA 5622: Introduction to Machine Learning: Supervised Learning Preview this course in the non-credit experience today! Work you ...

Introduction to Machine Learning This course is a broad introduction to different machine learning paradigms and algorithms and provides a foundation for further study or independent work in machine ...

Learn machine learning algorithms, and statistical analysis to understand complex data, and leverage it to make informed business decisions. As part of the Rutgers Stackable Business Innovation ...

Teaching yourself Python machine learning can be a daunting task if you don’t know where to start. Fortunately, there are plenty of good introductory books and online courses that teach you the ...

Machine learning algorithms are being used more and more to make decisions that affect everyone. This course addresses the major moral concerns that these algorithms do not treat people fairly.

Machine Learning is the study of algorithms that improve automatically through experience. Topics covered typically include Bayesian Learning, Decision Trees, Genetic Algorithms, Neural Networks.

Artificial Intelligence and Machine Learning Program Overview This graduate program explores the discipline's mathematical foundations, algorithms, tools and applications as they pertain to artificial ...