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Closely related to pattern recognition, Unsupervised Learning is about analyzing data and looking for patterns. It is an extremely powerful tool for identifying structure in...
This online course explores the changes to JavaScript from ECMAScript 6 (ES 6).
This online course teaches a comprehensive set of simulation techniques to predict the performance of photonic nanostructures.
This introductory MOOC to graphene science and technology will teach participants about graphene, its practical applications and how it offers new insights into quantum physics.
This online course explores how to design and engineer complex, dynamic robotic systems.
This advanced-level online lecture series provides an overview of the Geometric Anatomy of Theoretical Physics.The aim of the course is to provide proper mathematical language...
This is an online lecture taking a practical approach to proving problems can't be solved efficiently (in polynomial time and assuming standard complexity-theoretic assumptions...
This online course teaches about the communication culture in China, such as the Chinese address system, metaphors, taboo words and euphemisms, Chinese terms of respect and...
Visualization is the field of research in computer science that studies effective communication of quantitative results by linking perception, cognition, and algorithms to...
This online course explores the fundamental principles underlying fluid dynamics; including the kinematics of deformation, hydrostatics & buoyancy, inviscid flow and the...
This online course gives an introduction to synchrotron and X-Ray Free Electron Lasers (XFELs) facilities and associated techniques.
This online course explores the Non-Equilibrium Green’s Function (NEGF) method widely used to describe quantum effects in nanoscale devices, along with its applications to...
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 explores the essentials of machine learning and algorithms to help improve learning from data without human intervention. Topics of the course include:...
This online course covers system identification. It includes eg. Introduction to modeling: Black-box and grey-box models; Parametric and non-parametric models; ARX, ARMAX (etc.)...
In this course, students will get hands-on experience with machine learning from a series of practical case-studies. They will study how to predict house prices based on...
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