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EE-452: Network machine learning
MOOCs associés (24)
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Optimization: principles and algorithms - Linear optimization
Introduction to linear optimization, duality and the simplex algorithm.
Optimization: principles and algorithms - Linear optimization
Introduction to linear optimization, duality and the simplex algorithm.
Optimization: principles and algorithms - Network and discrete optimization
Introduction to network optimization and discrete optimization
Optimization: principles and algorithms - Network and discrete optimization
Introduction to network optimization and discrete optimization
Optimization: principles and algorithms - Unconstrained nonlinear optimization
Introduction to unconstrained nonlinear optimization, Newton’s algorithms and descent methods.
Optimization: principles and algorithms - Unconstrained nonlinear optimization
Introduction to unconstrained nonlinear optimization, Newton’s algorithms and descent methods.
Logic Circuits for Embedded Systems part B
Digital Design in Embedded Systems part A
Digital Design in Embedded Systems part B
IoT Systems and Industrial Applications with Design Thinking
The first MOOC to provide a comprehensive introduction to Internet of Things (IoT) including the fundamental business aspects needed to define IoT related products.
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