End-to-end testing is one of the more common approaches to testing software, but it is complex, fragile expensive and low quality. As soon as we accept that the best way to test our system is to deploy it all together, with everything else that it interacts with and then try broad-brush in
From playlist Automated Testing
Writing and maintaining a suite of Acceptance Tests that can give you a high level of confidence in the behaviour and configuration of your system is a complex task. In this talk Dave Farley will describe approaches to Acceptance Testing that allow teams to: work quickly and effectively; b
From playlist Automated Testing
From playlist Open Q&A
A Gentle Introduction to Paired Samples t Test (11-6)
The paired samples t test uses repeated measures in which the same subjects are used in all treatment conditions. This is typical of a “before and after” design. Another way to use a paired samples t test is with matched pairs. It tests whether the average difference between two measureme
From playlist WK11 Independent Sample t Tests and Paired t Tests - Online Statistics for the Flipped Classroom
A silent video testing series for convergence or divergence using the comparison test
From playlist 242 spring 2012 exam 3
What is a hypothesis test? The meaning of the null and alternate hypothesis, with examples. Overview of test statistics and confidence levels.
From playlist Hypothesis Tests and Critical Values
Open Source vs. Closed Source Software
In this video, you’ll learn more about the differences between open-source software and closed-source software. Visit https://edu.gcfglobal.org/en/basic-computer-skills/ for more technology, software, and computer tips. We hope you enjoy!
From playlist Technology Trends
3_5_2 The Integral Test and Comparison Tests
The integral test for convergence of a series.
From playlist Advanced Calculus / Multivariable Calculus
3_5_1 The Integral Test and Comparison Tests
The integral test for convergence of a series.
From playlist Advanced Calculus / Multivariable Calculus
iMAML: Meta-Learning with Implicit Gradients (Paper Explained)
Gradient-based Meta-Learning requires full backpropagation through the inner optimization procedure, which is a computational nightmare. This paper is able to circumvent this and implicitly compute meta-gradients by the clever introduction of a quadratic regularizer. OUTLINE: 0:00 - Intro
From playlist Papers Explained
Python Programming 16. Sub Procedures
This is the 16th in a course of computer science video lessons introducing programming with Python. This lesson introduces sub procedures. When you are writing applications, it is good practice to avoid long repetitive programs. Sub programs like sub procedures and functions make this p
From playlist Python Programming Step by Step
Stanford CS330: Multi-Task and Meta-Learning, 2019 | Lecture 4 - Non-Parametric Meta-Learners
For more information about Stanford’s Artificial Intelligence professional and graduate programs, visit: https://stanford.io/ai Assistant Professor Chelsea Finn, Stanford University http://cs330.stanford.edu/
From playlist Stanford CS330: Deep Multi-Task and Meta Learning
Al Florence: "Proven Management & Technical Processes and Procedures are Paramount for Project..."
LoopTransPort 2018 Conference (with Hyperloop Advanced Research Partnership) "Proven Management & Technical Processes and Procedures are Paramount for Project Success" Al Florence, Independent Multi-Discipline Systems Engineer (Denver, Colorado) Abstract: The success/failure, especially
From playlist LoopTransPort 2018 Conference
Etienne Roquain: Sparse multiple testing: can one estimate the null distribution?
CIRM VIRTUAL EVENT Recorded during the meeting "Mathematical Methods of Modern Statistics 2" the June 03, 2020 by the Centre International de Rencontres Mathématiques (Marseille, France) Filmmaker: Guillaume Hennenfent Find this video and other talks given by worldwide mathematicians
From playlist Virtual Conference
EEVblog #1041 - Keysight Calibration Lab Tour
Peter Daly from Keysight takes us on a tour of their Melbourne calibration and repair lab. Both automated and manual test benches, high voltage PSU test system, phase noise measurement system, and rohs repair. Forum: http://www.eevblog.com/forum/blog/eevblog-1041-keysight-calibration-lab-
From playlist Calibration & Standards
R - Data Screening Assumptions (7.1 Flip)
Lecturer: Dr. Erin M. Buchanan Spring 2021 https://www.patreon.com/statisticsofdoom This video covers data screening following a set procedure to help you screen through your data. You will learn about data screening working through accuracy, missing data, outliers, and assumptions. T
From playlist Graduate Statistics Flipped
Stanford CS330: Deep Multi-Task & Meta Learning I 2021 I Lecture 4
For more information about Stanford's Artificial Intelligence professional and graduate programs visit: https://stanford.io/ai To follow along with the course, visit: http://cs330.stanford.edu/fall2021/index.html To view all online courses and programs offered by Stanford, visit: http:/
From playlist Stanford CS330: Deep Multi-Task & Meta Learning I Autumn 2021I Professor Chelsea Finn
Colloquium MathAlp 2018 - Patricia Bouret
Erreurs et Tests statistiques : Un test statistique est un outil très puissant pour prendre des décisions, cependant ils sont parfois très mal interprétés. Après une petite introduction historique qui montrera que les débats autour de ces notions remontent à Fisher, je me focaliserai su
From playlist Colloquiums MathAlp
Test done with Blender 2.5. http://www.kostackstudio.de
From playlist Random Blender Tests
Lecture 1A: Overview and Introduction to Lisp
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 Overview and Introductio
From playlist MIT 6.001 Structure and Interpretation, 1986