Machine Learning

Academy
edX
Kurzbeschreibung
This course focuses on core algorithmic and statistical concepts in machine learning. Topics include pattern recognition, PAC learning, over... mehr...
This course focuses on core algorithmic and statistical concepts in machine learning. Topics include pattern recognition, PAC learning, overfitting, decision trees, classification, linear regression, logistic regression, gradient descent, feature projection, dimensionality reduction, maximum likelihood, Bayesian methods, and neural networks. weniger
Kursarten
E-Learning
Fachbereiche

Informatik, Machine Learning, AI

Kurslevel
Professionel

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Kursinhalt
Tools from machine learning are now ubiquitous in the sciences with applications in engineering, computer vision, and biology, among others. This class introduces the fundamental mathematical models, algorithms, and statistical tools needed to perform core tasks in machine learning. Applications of these ideas are illustrated using programming examples on various data sets. Topics include pattern recognition, PAC learning, overfitting, decision trees, classification, linear regression, logistic regression, gradient descent, feature projection, dimensionality reduction, maximum likelihood, Bayesian methods, and neural networks.
Kurssprache
Englisch
Kursgebühr
USD 1000