Displaying 83 resources



Geometric Spaces
This lecture overviews Geometric Spaces that has many applications in Machine Learning and Digital Signal Processing and Analysis. It covers the following topics in detail: Vector Spaces, Affine Spaces, Metric Spaces.



Generative Adversarial Networks
This lecture overviews Generative Adversarial Networks that have many applications in Media Production.



Autonomous Car Modeling and Control
This lecture overviews Autonomous Car Modeling and Control that has many applications in autonomous cars and automated driving.



Signal Sampling
This lecture overviews Signal Sampling that has many applications in signal acquisition, processing and analysis. It covers the following topics in detail: Discrete/Continuous Signals, Signal Sampling, Signal Reconstruction, Signal Quantization.



Robust Statistics
This lecture overviews Robust Statistics that has many applications in Data Analytics and Digital Signal Processing and Analysis. It covers the following topics in detail: Outliers.



Deep Reinforcement Learning
This lecture overviews Deep Reinforcement Learning that has many applications in, e.g., Game playing agents, Self-driving vehicles, Robotics (Robot cleaners) and Stock exchange agents.