machine learning – Page 54 – Andrew Fairless, Ph.D.

What I Read: The New Business of AI

By Andrew Fairless on December 14, 2020December 3, 2020

The New Business of AI (and How It’s Different From Traditional Software) The New Business of AI (and How It’s Different From Traditional Software)by Martin Casado and Matt Bornstein “JustContinue readingWhat I Read: The New Business of AI

What I Read: Neighbourhood Components Analysis

By Andrew Fairless on December 13, 2020December 1, 2020

https://kevinzakka.github.io/2020/02/10/nca/ Kevin’s BlogkNN classification using Neighbourhood Components AnalysisFeb 10, 2020 “Long story short, NCA allows you to learn a linear transformation of your data that maximizes k-nearest neighbours performance. ByContinue readingWhat I Read: Neighbourhood Components Analysis

What I Read: Reproducible Machine Learning

By Andrew Fairless on December 12, 2020December 1, 2020

https://thegradient.pub/independently-reproducible-machine-learning/ Independently Reproducible Machine Learning06.Feb.2020Edward Raff “How reproducible is the latest ML research, and can we begin to quantify what impacts its reproducibility? This question served as motivation for myContinue readingWhat I Read: Reproducible Machine Learning

What I Read: Economics of AI

By Andrew Fairless on December 11, 2020December 1, 2020

https://thegradient.pub/the-economics-of-ai-today/ The Economics of AI Today18.Jan.2020Juan Mateos-Garcia “…a group of distinguished economists gathered in Toronto to set out a research agenda for the Economics of Artificial Intelligence (AI). They coveredContinue readingWhat I Read: Economics of AI

What I Read: Reformer efficient Transformer

By Andrew Fairless on December 10, 2020December 13, 2020

https://towardsdatascience.com/illustrating-the-reformer-393575ac6ba0?gi=34b920510f6f Illustrating the ReformerThe efficient TransformerAlireza DirafzoonFeb 4 “Recently, Google introduced the Reformer architecture, a Transformer model designed to efficiently handle processing very long sequences of data (e.g. up toContinue readingWhat I Read: Reformer efficient Transformer

What I Read: Artificial Intelligence Will Do What We Ask

By Andrew Fairless on December 9, 2020November 29, 2020

https://www.quantamagazine.org/artificial-intelligence-will-do-what-we-ask-thats-a-problem-20200130/ artificial intelligenceArtificial Intelligence Will Do What We Ask. That’s a Problem.Natalie WolchoverSenior Writer/EditorJanuary 30, 2020By teaching machines to understand our true desires, one scientist hopes to avoid the potentiallyContinue readingWhat I Read: Artificial Intelligence Will Do What We Ask

What I Read: Help AI See in Higher Dimensions

By Andrew Fairless on December 7, 2020January 1, 2021

https://www.quantamagazine.org/an-idea-from-physics-helps-ai-see-in-higher-dimensions-20200109/ artificial intelligenceAn Idea From Physics Helps AI See in Higher DimensionsThe laws of physics stay the same no matter one’s perspective. Now this idea is allowing computers to detectContinue readingWhat I Read: Help AI See in Higher Dimensions

What I Read: AI Epidemiologist First Warnings Virus

By Andrew Fairless on December 5, 2020November 28, 2020

https://www.wired.com/story/ai-epidemiologist-wuhan-public-health-warnings/ Eric NiilerScience01.25.2020 07:00 AM An AI Epidemiologist Sent the First Warnings of the Wuhan Virus“The BlueDot algorithm scours news reports and airline ticketing data to predict the spread ofContinue readingWhat I Read: AI Epidemiologist First Warnings Virus

What I Read: scalable graph machine learning

By Andrew Fairless on December 3, 2020November 28, 2020

https://www.kdnuggets.com/2019/12/scalable-graph-machine-learning.html Scalable graph machine learning: a mountain we can climb?By Kevin Jung, Software Engineer at CSIRO Data61 “In this article, we will take a closer look at scalability for graphContinue readingWhat I Read: scalable graph machine learning

What I Comment: Artificial Intelligence Makes Bad Medicine Even Worse

By Andrew Fairless on December 3, 2020November 28, 2020

This is an interesting perspective, but I don’t necessarily agree with the sweeping conclusions. For example, it’s true that some types of cancer screening are controversial because they may notContinue readingWhat I Comment: Artificial Intelligence Makes Bad Medicine Even Worse

Tag: machine learning