Sampling (statistics) | Sampling techniques

Infrastructure bias

In economics and social policy, infrastructure bias is the influence of the location and availability of pre-existing infrastructure, such as roads and telecommunications facilities, on social and economic development. In science, infrastructure bias is the influence of existing social or scientific infrastructure on scientific observations. In astronomy and particle physics, where the availability of particular kinds of telescopes or particle accelerators acts as a constraint on the types of experiments that can be done, the data that can be retrieved is biased towards that which can be obtained by the equipment. , related to infrastructure bias, is shown by a case of irregular genetic sampling of Bolivian wild potatoes. A 2000 report of previous studies' sampling found that 60% of samples had been taken near towns or roads, where 22% would be the average, had the samples been taken at random (or from equidistant points, or at specifically varying distances from towns, representative of the average terrain density). (Wikipedia).

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What Is Infrastructure As Code?

Infrastructure as code is a central idea in Continuous Delivery. The environment in which our software exists is a dependency of our software, so we need to control that environment as far as we can. If our aim is to release software reliably and repeatedly we need to control the variables

From playlist Software Engineering

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Name That Infrastructure (Ep. 3) #shorts

Can you name that infrastructure? More info: https://practical.engineering/contest #EngineeringInPlainSight #shorts

From playlist What's that Infrastructure?

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Privacy Matters

http://privacymatters.nl/

From playlist awareness

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Centrality - Intro to Algorithms

This video is part of an online course, Intro to Algorithms. Check out the course here: https://www.udacity.com/course/cs215.

From playlist Introduction to Algorithms

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Stanford Seminar - Bias and Representation in Sociotechnical Systems

Danae Metaxa Stanford University May 14, 2021 Algorithms play a central role in our lives today, mediating our access to civic engagement, social connections, employment opportunities, news media and more. While the sociotechnical systems deploying these algorithms--search engines, social

From playlist Stanford Seminars

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Reliability 1: External reliability and rater reliability and agreement

In this video, I discuss external reliability, inter- and intra-rater reliability, and rater agreement.

From playlist Reliability analysis

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SERVERLESS: The Rise Of External Services

Serverless has captivated the IT community at an incredible pace, and for good reason. It has tremendous power to liberate productivity, increase innovation and reduce overhead. However, adopting serverless technologies is still not well understood. As the ecosystem grows around serverl

From playlist Serverless

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Types Of Centrality - Intro to Algorithms

This video is part of an online course, Intro to Algorithms. Check out the course here: https://www.udacity.com/course/cs215.

From playlist Introduction to Algorithms

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Randy Bias interviewed at OSCON 2013

Randy Bias' provocative views on the profound disruption caused by cloud computing have made him one of the most influential voices in the industry. He is a founding member of the OpenStack Foundation board and was an early vocal supporter of the project.

From playlist Open Source Convention (OSCON) 2013

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Goddard: Drivers' attitudes about bicyclists

UC Irvine Public Health Seminar - recorded on May 8, 2017 Drivers' attitudes about bicyclists: roadway norms, implicit bias, and implications for safety Although traffic deaths in the United States have declined since the 1970s, car crashes remain a leading cause of death. Vulnerable roa

From playlist Public Health: Collections

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Columbus North High School (Team 13562) 2020 Presentation

Columbus North High School from Columbus, Indiana was a Finalist in MathWorks Math Modeling Challenge 2020! Due to COVID-19, finalist teams submitted video presentations to communicate the results of their solution papers. Learn more about the 2020 Challenge problem topic, and the winners:

From playlist M3 Challenge 2020 Video Presentations

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What does the adoption of AI and Machine Learning look like in risk management?

Live from RiskMinds International, Derek Waldron, Partner (New York) at McKinsey & Company, explores us the value creating potentials of data, AI, and Machine Learning. Visit the RiskMinds365 blog for more exclusive interviews and thought leadership: https://goo.gl/yQeosW

From playlist RiskMinds International 2018

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You and AI – the politics of AI

Kate Crawford, Distinguished Research Professor at New York University, a Principal Researcher at Microsoft Research New York, and the co-founder and co-director the AI Now Institute, discusses the biases built into machine learning, and what that means for the social implications of AI.

From playlist You and AI

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How Are Algorithms Negatively Controlling Your Decisions? (Part 3 of 3)

Algorithms are strings of mathematical statements weighing different things and sorting through information. Which is horrifying, right? This episode is about how algorithms can make humanity so much worse. Part 1 of 3 - https://youtu.be/bEnHeER6Sww Part 2 of 3 - https://www.youtube.com

From playlist Seeker Plus

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ETHICS in AI? Are there RISKS for us? In Education or Medical treatment?

We look at the US response to Explainable AI (XAI) and Ethics in 2022. Stanford's HAI response on: Explainable AI / Foundation models / Large Language Models - can there be risks for us? A new group assembled by Stanford’s institute for Human-Centered Artificial Intelligence (HAI), called

From playlist Explainable AI (XAI) and Decision Intelligence (DI). Performance on Vision.

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the Internet (part 2)

An intro to the core protocols of the Internet, including IPv4, TCP, UDP, and HTTP. Part of a larger series teaching programming. See codeschool.org

From playlist The Internet

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Google Keynote: Federated Learning & Federated Analytics-Research, Applications, & System Challenges

A Google TechTalk, presented by Hubert Eichner, Francoise Beaufay, Ravi Kumar & Peter Kairouz, 2021/11/9 ABSTRACT: An overview of federated analytics applications and algorithms, federated learning applications and algorithms, and how we build an infrastructure and scale it. About the S

From playlist 2021 Google Workshop on Federated Learning and Analytics

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