Jacobi, Gauss-Seidel and SOR Methods | Lecture 66 | Numerical Methods for Engineers
Iterative methods for solving the discrete Laplace equation. Join me on Coursera: https://www.coursera.org/learn/numerical-methods-engineers Lecture notes at http://www.math.ust.hk/~machas/numerical-methods-for-engineers.pdf Subscribe to my channel: http://www.youtube.com/user/jchasnov?
From playlist Numerical Methods for Engineers
EEVblog #635 - FPGA's Vs Microcontrollers
How easy are FPGA's to hook up and use use compared to traditional microcontrollers? A brief explanation of why FPGA are a lot more complicated to setup and get working than microcontrollers. A short video linking to several other FGPA videos. NOTE: This is very old footage that was meant
From playlist FPGA / Programmable Logic
'Elysium' A Phaeleh Mix ⬙ FAVOURITES ON SPOTIFY ⬙ ⇥ http://mrsuicidesheep.com/favourites This one is a little different as it focuses only on one artist but I have always wanted to have a Phaeleh mix done, mainly for myself so I could listen to his beautiful tracks all at the same time
From playlist "Thank me later" Music [Electronic]
Gaussian Integral 7 Wallis Way
Welcome to the awesome 12-part series on the Gaussian integral. In this series of videos, I calculate the Gaussian integral in 12 different ways. Which method is the best? Watch and find out! In this video, I calculate the Gaussian integral by using a technique that is very similar to the
From playlist Gaussian Integral
The Fibonacci bamboozlement | Lecture 8 | Fibonacci Numbers and the Golden Ratio
Explanation of the Fibonacci bamboozlement. The Fibonacci bamboozlement is a dissection fallacy where the rearrangement of pieces in a square can be used to construct a rectangle with one unit of area larger or smaller than that of the square. The square and rectangle have side lengths gi
From playlist Fibonacci Numbers and the Golden Ratio
11_6_3 Contours and Tangents to Contrours Part 3
Using the gradient as a perpendicular vector to the tangent of a contour of a function's graph to calculate an equation for a tangent (hyper)plane to the function.
From playlist Advanced Calculus / Multivariable Calculus
Concavity and Parametric Equations Example
Please Subscribe here, thank you!!! https://goo.gl/JQ8Nys Concavity and Parametric Equations Example. We find the open t-intervals on which the graph of the parametric equations is concave upward and concave downward.
From playlist Calculus
Proof of the Convolution Theorem
Proof of the Convolution Theorem, The Laplace Transform of a convolution is the product of the Laplace Transforms, changing order of the double integral, proving the convolution theorem, www.blackpenredpen.com
From playlist Convolution & Laplace Transform (Nagle Sect7.7)
The Fast Fourier Transform (FFT)
Here I introduce the Fast Fourier Transform (FFT), which is how we compute the Fourier Transform on a computer. The FFT is one of the most important algorithms of all time. Book Website: http://databookuw.com Book PDF: http://databookuw.com/databook.pdf These lectures follow Chapter
From playlist Fourier
A Geometric View on Private Gradient-Based Optimization
A Google TechTalk, presented by Steven Wu, 2021/04/16 ABSTRACT: Differential Privacy for ML Series. Deep learning models are increasingly popular in many machine learning applications where the training data may contain sensitive information. To provide formal and rigorous privacy guaran
From playlist Differential Privacy for ML
Stanford CS230: Deep Learning | Autumn 2018 | Lecture 6 - Deep Learning Project Strategy
Andrew Ng, Adjunct Professor & Kian Katanforoosh, Lecturer - Stanford University http://onlinehub.stanford.edu/ Andrew Ng Adjunct Professor, Computer Science Kian Katanforoosh Lecturer, Computer Science To follow along with the course schedule and syllabus, visit: http://cs230.stanfo
From playlist Stanford CS230: Deep Learning | Autumn 2018
Lecture 13: Further Contemporary RL Algorithms
Thirteenth lecture video on the course "Reinforcement Learning" at Paderborn University during the summer term 2020. Source files are available here: https://github.com/upb-lea/reinforcement_learning_course_materials Intro: (0:00) Deep Deterministic Policy Gradient: (1:21) Twin Delayed D
From playlist Reinforcement Learning Course: Lectures (Summer 2020)
Federated Learning and Analytics Research Using TensorFlow Federated
A Google TechTalk, presented by Google TFF Researchers, 2021/11/10 ABSTRACT: Sometimes centrally collecting data produced by edge devices, such as mobile phones, wearables, or cars, is infeasible or undesirable. With federated learning and analytics, clients collaboratively train a model o
From playlist 2021 Google Workshop on Federated Learning and Analytics
Fast and Memory Efficient Differentially Private-SGD via JL Projections
A Google TechTalk, presented by Sivakanth Gopi, 2021/05/21 ABSTRACT: Differential Privacy for ML Series. Differentially Private-SGD (DP-SGD) of Abadi et al. (2016) and its variations are the only known algorithms for private training of large scale neural networks. This algorithm requires
From playlist Differential Privacy for ML
Matthieu Kowalski: Time-frequency frames and applications to audio analysis - Part 2
Find this video and other talks given by worldwide mathematicians on CIRM's Audiovisual Mathematics Library: http://library.cirm-math.fr. And discover all its functionalities: - Chapter markers and keywords to watch the parts of your choice in the video - Videos enriched with abstracts, b
From playlist Analysis and its Applications
Covariance-Aware Private Mean Estimation Without Private Covariance Estimation
A Google TechTalk, presented by Lydia Zakynthinou, 2021/11/3 Privacy in MLSeminars - ABSTRACT: We present two differentially private mean estimators for multivariate (sub)Gaussian distributions with unknown covariance. Our estimators are accurate with respect to the Mahalanobis loss and
From playlist Differential Privacy for ML
Gaussian Integral 10 Fourier Way
Welcome to the awesome 12-part series on the Gaussian integral. In this series of videos, I calculate the Gaussian integral in 12 different ways. Which method is the best? Watch and find out! In this video, I show how the Gaussian integral appears in the Fourier transform: Namely if you t
From playlist Gaussian Integral
CoinPress: Practical Private Mean and Covariance Estimation
A Google TechTalk, presented by Guatam Kamal, 2021/03/05 ABSTRACT: Differential Privacy for ML Series. We introduce a simple framework for differentially private estimation. As a case study, we will focus on mean estimation for sub-Gaussian data. In this setting, our algorithm is highly e
From playlist Differential Privacy for ML
Code-It-Yourself! 3D Graphics Engine Part #3 - Cameras & Clipping
Phew, it's a long one but I feel necessary to get this series moving. This video describes how to implement cameras and clipping planes in a 3D engine. In addition, I derive the look at and point at matrices, typically used in cameras, and talk about how to clip triangles against planes in
From playlist Code-It-Yourself!
Calculus of Variations ft. Flammable Maths
Flammable Maths: https://www.youtube.com/channel/UCtAIs1VCQrymlAnw3mGonhw Leibnitz Rule: https://www.youtube.com/watch?v=wkh1Y7R1sOw This video is an introduction to the calculus of variations. We go over what variational calculus is trying to solve, and derive the Euler-Lagrange equatio
From playlist Analysis