Vodafone-Happy to Help Ad (full)
In some very special way I still remain loyal to this brand,yet another spectaculary meaningful ad from O&M..gd going
From playlist Advertisements
Metallica - The Call of Ktulu (HD)
No lyrics this time, but you can still enjoy this amazing piece of art. R.I.P Cliff :( Enjoy! Oh, and make sure to check out the other Metallica videos on my channel - Rock on \m/
From playlist Brilliant Music
Karl Popper on Definitions (1974)
A version of an upload from the previous channel. It comes from a 1974 interview with Popper. The translation is my own. For more Popper: https://www.youtube.com/playlist?list=PLhP9EhPApKE_VarWCx1d_Uogn_GxsVf-o More Short Clips: https://www.youtube.com/playlist?list=PLhP9EhPApKE8v8UVlc7Ju
From playlist Karl Popper
MATLAB Converting an equation to a function in MATLAB
Get a Free Trial: https://goo.gl/C2Y9A5 Get Pricing Info: https://goo.gl/kDvGHt Ready to Buy: https://goo.gl/vsIeA5 http://blogs.mathworks.com/videos Very often MATLAB functions are inspired by equations. A simple equation is converted to a function.
From playlist MATLAB Video tutorial blog
5 Best Practices In DevOps Culture | What is DevOps? | Edureka
๐ฅ๐๐๐ฎ๐ซ๐๐ค๐ ๐๐๐ฏ๐๐ฉ๐ฌ ๐๐จ๐ฌ๐ญ ๐๐ซ๐๐๐ฎ๐๐ญ๐ ๐๐ซ๐จ๐ ๐ซ๐๐ฆ ๐ฐ๐ข๐ญ๐ก ๐๐ฎ๐ซ๐๐ฎ๐ ๐๐ง๐ข๐ฏ๐๐ซ๐ฌ๐ข๐ญ๐ฒ: https://www.edureka.co/executive-programs/purdue-devops This tutorial explains what is DevOps. It will help you understand some of its best practices in DevOps culture. This video will also provide an insight into how different
From playlist Webinars by Edureka!
Demonstration of opening a SVG using a text editor in JupyterLab
From playlist JupyterLab Documentation
Docker vs Virtual Machine | Difference Between Docker & Virtual Machine | DevOps Tools | Simplilearn
In this video on Docker vs VM, we will be discussing what is a virtual machine, what is Docker, Docker vs VM, and a real-life example of BBC using Docker. A virtual machine (VM) is an isolated computing environment or software that allows a user to access an operating system via a physical
From playlist DevOps Tools Tutorial Videos | Simplilearn๐ฅ[2022 Updated]
MATLAB Basics: Get The Most Out of MATLAB
In this livestream, Heather Gorr and Elsie Eigerman will be walking through the fundamentals of programming with MATLAB. This isnโt just for beginners; weโll show you the latest and greatest tips and tricks to help you get the most out of MATLAB. Weโll also walk-through core concepts for t
From playlist MATLAB and Simulink Livestreams
SketchySVD - Joel Tropp, California Institute of Technology
This workshop - organised under the auspices of the Isaac Newton Institute on โApproximation, sampling and compression in data scienceโ โ 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
undergraduate machine learning 16: Principal Component Analysis - PCA
Principal component analysis (PCA) The slides are available here: http://www.cs.ubc.ca/~nando/340-2012/lectures.php This course was taught in 2012 at UBC by Nando de Freitas
From playlist undergraduate machine learning at UBC 2012
Relative Error Tensor Low Rank Approximation by David Woodruff
Statistical Physics Methods in Machine Learning DATE:26 December 2017 to 30 December 2017 VENUE:Ramanujan Lecture Hall, ICTS, Bengaluru The theme of this Discussion Meeting is the analysis of distributed/networked algorithms in machine learning and theoretical computer science in the "th
From playlist Statistical Physics Methods in Machine Learning
Computational Linear Algebra 5: Robust PCA & LU Factorization
Course materials available here: https://github.com/fastai/numerical-linear-algebra We review randomized SVD & robust PCA (for background removal on a surveillance video), and introduce Gaussian Elimination & LU factorization. Topics covered here reviewed in next video.
From playlist Computational Linear Algebra
Lecture 08-02 Dimensionality Reduction
Machine Learning by Andrew Ng [Coursera] 0806 Motivation I: Data Compression 0807 Motivation II: Data Visualization 0808 Principal Component Analysis problem formulation 0809 Principal Component Analysis algorithm 0810 Reconstruction from compressed representation 0811 Choosing the number
From playlist Machine Learning by Professor Andrew Ng
One of my favorite vfx projects. Let me know if you want a full tutorial of this or something similar. https://www.youtube.com/watch?v=ZVYYz3htFSo
From playlist Shorts