SketchySVD - Joel Tropp, California Institute of Technology
This workshop - organised under the auspices of the Isaac Newton Institute on “Approximation, sampling and compression in data science” — brings together leading researchers in the general fields of mathematics, statistics, computer science and engineering. About the event The workshop ai
From playlist Mathematics of data: Structured representations for sensing, approximation and learning
Why Study Computer Science? | College Majors | College Degrees | Study Hall
What can you do with a Computer Science major? In Computer Science you can expect to study discrete mathematics, probability and statistics, linear algebra, physics and so much more. Basically, Computer Science is the study of computer systems and how they function. If you want to dig de
From playlist Fast Guides: To Electives and Majors
The mother of all representer theorems for inverse problems & machine learning - Michael Unser
This workshop - organised under the auspices of the Isaac Newton Institute on “Approximation, sampling and compression in data science” — brings together leading researchers in the general fields of mathematics, statistics, computer science and engineering. About the event The workshop ai
From playlist Mathematics of data: Structured representations for sensing, approximation and learning
27c3: Hackers and Computer Science (en)
Speaker: Sergey Although most academics and industry practitioners regard "hacking" as mostly ad-hoc, a loose collection of useful tricks essentially random in nature, I will argue that hacking has in fact become a "distinct research and engineering discipline" with deep underlying engine
From playlist 27C3: We come in peace
Optimal transport for machine learning - Gabriel Peyre, Ecole Normale Superieure
This workshop - organised under the auspices of the Isaac Newton Institute on “Approximation, sampling and compression in data science” — brings together leading researchers in the general fields of mathematics, statistics, computer science and engineering. About the event The workshop ai
From playlist Mathematics of data: Structured representations for sensing, approximation and learning
Welcome to part one of computer science terminology, where we take a dive into understanding some of the terms used in computer science and software development. We've started with the basics and will continue to get more complex as this series progresses. --------------------------------
From playlist Computer Science
Giles Gardam: Solving semidecidable problems in group theory
Giles Gardam, University of Münster Abstract: Group theory is littered with undecidable problems. A classic example is the word problem: there are groups for which there exists no algorithm that can decide if a product of generators represents the trivial element or not. Many problems (th
From playlist SMRI Algebra and Geometry Online
Learn computer science terminology. We'll take a dive into understanding some of the terms used in computer science and software development. The video starts with the basics and then gets more advanced. Video from Forrest Knight. Check out his channel: https://www.youtube.com/channel/UC
From playlist Computer Science Concepts
Arnaud Durand : A quick and partial survey on the complexity of query answering
CONFERENCE Recording during the thematic meeting : « Discrete mathematics and logic: between mathematics and the computer science » the January 19, 2023 at the Centre International de Rencontres Mathématiques (Marseille, France) Filmmaker: Guillaume Hennenfent Find this video and other
From playlist Logic and Foundations
Lecture 12 | Programming Methodology (Stanford)
Lecture by Professor Mehran Sahami for the Stanford Computer Science Department (CS106A). Professor Sahami lectures on Enumeration. CS106A is an Introduction to the engineering of computer applications emphasizing modern software engineering principles: object-oriented design, decomposi
From playlist Course | Programming Methodology
Clojure - the Reader and Evaluator (4/4)
Part of a series teaching the Clojure language. For other programming topics, visit http://codeschool.org
From playlist the Clojure language
Computer Basics: What Is a Computer?
Computers are all around us, and they play an important role in our lives. But what exactly is a computer? We're going to answer that question and give you an overview of some of the different types of computers you might use. 0:00 Intro 0:22 Ones and zeros 0:39 Hardware and software 1:0
From playlist Starting out with Technology
Lec 5 | MIT 6.00 Introduction to Computer Science and Programming, Fall 2008
Lecture 5: Floating point numbers, successive refinement, finding roots Instructors: Prof. Eric Grimson, Prof. John Guttag View the complete course at: http://ocw.mit.edu/6-00F08 License: Creative Commons BY-NC-SA More information at http://ocw.mit.edu/terms More courses at http://ocw.mit
From playlist MIT 6.00 Intro to Computer Science & Programming, Fall 2008
Reinforcement Learning in the Real World | Paper Analysis
Far from being an academic novelty, reinforcement learning has many real world use cases. In this video we take a look at using reinforcement learning, specifically a version of policy gradient methods known as proximal policy optimization (PPO), to optimize the join ordering for PostgreSQ
From playlist Applications of Reinforcement Learning in the Real World
Cantor's Infinity Paradox | Set Theory
Sign up to brilliant.org to receive a 20% discount with this link! https://brilliant.org/upandatom/ Cantor sets and the nature of infinity in set theory. Hi! I'm Jade. Subscribe to Up and Atom for new physics, math and computer science videos every two weeks! *SUBSCRIBE TO UP AND ATO
From playlist Math
Functional Dataflow Part 2: Wolfram Livecoding Session
Alan Calvitti continues his live coding presentation on functional methods and patterns to write compact but flexible pipes for data science using real-world examples.
From playlist Functional Workflows with Alan Calvitti
MIT 6.001 Structure and Interpretation of Computer Programs, Spring 2005 Instructor: Harold Abelson, Gerald Jay Sussman, Julie Sussman View the complete course: https://ocw.mit.edu/6-001S05 YouTube Playlist: https://www.youtube.com/playlist?list=PLE18841CABEA24090 Streams, Part 1 Despite
From playlist MIT 6.001 Structure and Interpretation, 1986
Whatever I Can do to Entertain You in 30 Minutes || James Powell
An illuminating talk by James Powell about Python! PUBLICATION PERMISSIONS: PyData provided Coding Tech with the permission to republish PyData talks. CREDITS: PyData YouTube channel: https://www.youtube.com/c/PyDataTV
From playlist Python
Stephen Wolfram - What is a Theory of Everything?
A 'theory of everything' is the ultimate workings of physics, the ideas and equations that undergird the physical universe at its deepest level. What can theory of everything explain? And what can it not explain? To have a theory of everything, what do you need? And if you get it, what can
From playlist A Theory of Everything - Closer To Truth - Core Topic
Clojure - the Reader and Evaluator (2/4)
Part of a series teaching the Clojure language. For other programming topics, visit http://codeschool.org
From playlist the Clojure language