This is a graduate course. You are thus expected to pursue ideas and topics discussed in this course on your own beyond the level of the lectures. My aim is to cover some of the easy early material ...

This is a graduate course. You are thus expected to pursue ideas and topics discussed in this course on your own beyond the level of the lectures. My aim is to cover some of the easy early material ...

Abstract: Imagine one observes a small subset of entries in a large matrix and aims to recover the entire matrix. Without a priori knowledge of the matrix, this problem is highly ill-posed.

Based on the Central Lecture Course by Dr. Frederic P. Schuller (A thorough introduction to the theory of general relativity) introducing the mathematical and physical foundations of the theory in 24 ...

Whether you’re taking notes from lectures or from your reading, there are a number of possible approaches to explore. When it comes to tools, you have a decision between paper or digital. Think about ...

This book provides an introduction to the study of dynamic general equilibrium economic models: time can either be modelled in a discrete or continuous fashion, and the environment may be either ...

Mathematics for Machine Learning In this post I have compiled great e-resources (MOOC, YouTube Lectures, Books) for learning Mathematics for Machine Learning. Mathematics for Machine Learning - Book ...

This course will cover an overview of major topics in modern control theory, intended to prepare students to work on applications relevant to the Department of Technology Systems (energy, space ...