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This online course gives an introduction to deep learning (DL) methods, healthcare data and applications using DL methods.
This online course series explores current engineering practices used in the self-driving car industry. The online program shows the detailed architecture and components of a...
This online course explores the fundamentals of Microsoft Azure infrastructure, including infrastructure as a service.
This course is an introduction to least squares from a linear algebraic and mathematical perspective.
This online course program gives an introduction to the latest cutting-edge methods in Deep Learning for Medical Applications. It includes health data analysis, different types...
This MOOC aims to provide a succinct overview of the emerging discipline of Materials Informatics at the intersection of materials science, computational science, and...
This series of MOOCs explores the fundamentals of probabilistic graphical models.
In this course students will expand their repertoire of additional features and more advanced functions that may be implemented within the iOS environment. They will refine...
This online course (MOOC) teaches how to program specific orientation and achieve precise aiming goals for spacecraft moving through three dimensional space.
This online course (MOOC) explores the movement of bodies in space (like spacecraft, satellites, and space stations).
This MOOC teaches a calculus that enables quantitative predictions of large combinatorial structures. In addition, the MOOC also covers generating functions and real asymptotics...
This online course program gives an introduction to the Python programming language and its application in practical data science projects. Participants should already have a...
This MOOC gives an introduction to Python and includes data analysis techniques.
This online course gives an introduction to deep learning for applications such as natural language processing, computer vision, and many others. It is designed for students...
This online course discusses the key problems of parameter estimation in both directed and undirected models, as well as the structure learning task for directed models.
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