Labs in the Heidelberg area make leading contributions to the theory and practice of machine learning, pattern recognition and artificial intelligence. Below is a summary of pertinent courses and activities in the area. Please follow the links to learn more about contents and prerequisites. Enjoy! ![Logos](/sites/default/files/node/images/513154892/logos_trans_neu.png) #
from David Mount !
Alternate Lecture notes at:
- https://www.cs.umd.edu/users/meesh/cmsc351/mount/lectures/
- https://www.cs.umd.edu/~mount/251/Lects/251lects.pdf
This is CMSC389F, the University of Maryland's theoretical introduction to the art of reinforcement learning. An introductory course taught by Kevin Chen and Zack Khan, CMSC389F covers topics including markov decision processes, monte carlo methods, policy gradient methods, exploration, and application towards real environments in broad strokes .
The goal of this conference is to bring together mathematicians from a range of fields, and practitioners from the digital arts (animation, 3D printing, laser cutting, CNC routing, virtual reality, computer games, etc). The attendees will share their expertise in mathematics and with the procedural tools used to illustrate mathematics. In addition to talks in the traditional style, we plan to hold several workshops to train attendees about a variety of digital media, in particular 3D printing.
MIT 2.003SC Engineering Dynamics, Fall 2011 View the complete course: http://ocw.mit.edu/2-003SCF11 Instructor: J. Kim Vandiver License: Creative Commons BY-...
View the complete course: http://ocw.mit.edu/RES-18-009F15 Instructor: Gilbert Strang, Cleve Moler Gilbert Strang and Cleve Moler provide an overview to thei...
This course provides a review of linear algebra, including applications to networks, structures, and estimation, Lagrange multipliers. Also covered are: diff...
Lectures on Lie groups and Lie algebras (with a particular focus on physics) given by Gang Xu, a PSI Fellow, at the 2014-2015 PSI. These are NOT my videos! A...
Through my PhD on Deep Learning based robotics, I read a lot of papers on Machine Learning, Reinforcement Learning and AI in general. But papers can be a bit...
These are lectures for course 6.S094: Deep Learning for Self-Driving Cars taught in Winter 2017. Course website: http://cars.mit.edu Contact: deepcars@mit.ed...
This series of 5 videos will provide an introduction to geometric calculus for those who know some vector calculus. It is based on my textbook "Vector and Ge...
This series of 6 videos is an introduction to geometric algebra for those who know some linear algebra. It is based on my textbook "Linear and Geometric Alge...
I spoke at the ACCU conference in April 2017 on the topic of Embracing Modern CMake. The talk was very well attended and received, but was unfortunately not recorded at the event. In September I gave the talk again at the Dublin C++ User Group, so that it could be recorded for the internet. https://www.youtube.com/watch?v=JsjI5xr1jxM…
Hands are intimidating to draw, especially from imagination. Constructing it with simple forms makes it WAY easier. Watch this lesson to learn the process! T...
Mathematics as a Non-Superstition. Eleven math courses (in the playlists), from high school (precalculus) to early graduate school (functional analysis), taught in such a way that the student should be able to defend (almost) all statements against objection.
Playlist List (sorted by last added):
Course 4: Linear Algebra
Course 3: Calculus II (US)
Course 2: Calculus I (Another extra)
Course 7: Principles of Mathematical Analysis
Course 9: Basic Functional and Harmonic Analysis
Course 8: Fourier Analysis
Course 8: Complex Analysis
Course 6: Introduction to Analysis
Course 5: Differential Equations
Course 4: Multivariable Calculus
Course 3: Calculus II
Course 2: Calculus I
Course 1: Precalculus
Principles of Mathematical Analysis (based on Rudin's book of that name, Chapters 1, 2, 4, 5, 3, 7). (Prerequisites: some familiarity with theoretical mathem...
An introduction to theoretical mathematics via the basic concepts of analysis: fields, the real numbers, least upper bounds, the limit, sequences, Cauchy seq...
I present the existence and uniqueness theorem for first-order ordinary differential equations. For an introduction to differential equations, see my video: ...
This video answers the following questions: What are differential equations? What does it mean if a function is a solution of a differential equation? Why ar...
Wing Chun wing chun kung fu basics episode full version: Subscribe for more videos, click here: https://www.youtube.com/user/138mws Here is the full playlist...
Get an overview of the new C++ extension for Visual Studio Code and how you can use this extension to edit, build and debug your code across Win, Linux and M...
And it's Go, Go, Go! This video shows how to create a simple retro style racing game in quick and simple C++. By using simple maths and rules, quite a comple...
View the complete course: https://ocw.mit.edu/5-111F14 Instructor: Catherine Drennan An introduction to the chemistry of biological, inorganic, and organic m...
View the complete course: http://ocw.mit.edu/5-07SCF13 Instructor(s): Prof. John Essigmann, Prof. JoAnne Stubbe, Dr. Bogdan Fedeles Biological chemistry is t...
Math Mornings is a series of public lectures aimed at bringing the joy and variety of mathematics to students and their families. Speakers from Yale and else...
M. Hindmarsh, M. Lüben, J. Lumma, and M. Pauly. (2020)cite arxiv:2008.09136Comment: Introduction to the topic of phase transitions in the early universe, 63 pages.
A. Green. (2021)cite arxiv:2109.05854Comment: 35 pages, 3 figures. Submitted to SciPost Physics Lecture Notes, Les Houches Summer School Series, v2: minor changes.