machine learning – Page 50 – Andrew Fairless, Ph.D.

What I Read: Autotuning Multi-Objective Optimization

By Andrew Fairless on January 19, 2021December 27, 2020

https://www.kdnuggets.com/2020/08/autotuning-multi-objective-optimization-linkedin-feed-ranking.html Autotuning for Multi-Objective Optimization on LinkedIn’s Feed RankingBy Marco Varela & Mavis Li, LinkedIn “First, we learned that in this particular optimization problem it pays to formulate your problemContinue readingWhat I Read: Autotuning Multi-Objective Optimization

What I Read: Maintaining Machine Learning in Production

By Andrew Fairless on January 19, 2021December 27, 2020

https://eugeneyan.com/writing/practical-guide-to-maintaining-machine-learning/ A Practical Guide to Maintaining Machine Learning in Production “This follow-up will share some practices I’ve found useful to maintaining machine learning in production. They are: Monitor Training andContinue readingWhat I Read: Maintaining Machine Learning in Production

What I Read: Floating-Point and Deep Learning

By Andrew Fairless on January 18, 2021December 27, 2020

https://eigenfoo.xyz/floating-point-deep-learning/ Floating-Point Formats and Deep Learning “Floating-point format is not a crucial consideration in deep learning, but it can make a significant difference. What is floating-point, why should you (aContinue readingWhat I Read: Floating-Point and Deep Learning

What I Read: Improving AI Economics

By Andrew Fairless on January 18, 2021December 27, 2020

https://a16z.com/2020/08/12/taming-the-tail-adventures-in-improving-ai-economics/ Taming the Tail: Adventures in Improving AI Economicsby Martin Casado and Matt Bornstein “Many of the difficulties in building efficient AI companies happen when facing long-tailed distributions of data….Continue readingWhat I Read: Improving AI Economics

What I Read: Data Scientists Should Be More End-to-End

By Andrew Fairless on January 17, 2021December 26, 2020

https://eugeneyan.com/writing/end-to-end-data-science/ Unpopular Opinion – Data Scientists Should Be More End-to-End “Eric Colson of Stitch Fix was initially “lured to a function-based division of labour by the attraction of process efficiencies”…Continue readingWhat I Read: Data Scientists Should Be More End-to-End

What I Read: Open-source bionic leg

By Andrew Fairless on January 16, 2021December 24, 2020

https://news.umich.edu/open-source-bionic-leg-first-of-its-kind-platform-aims-to-rapidly-advance-prosthetics/ Open-source bionic leg: First-of-its-kind platform aims to rapidly advance prosthetics “A new open-source, artificially intelligent prosthetic leg… is now available to the scientific community. The leg’s free-to-copy design andContinue readingWhat I Read: Open-source bionic leg

What I Read: End-to-End Machine Learning Platforms

By Andrew Fairless on January 15, 2021December 24, 2020

https://databaseline.tech/a-tour-of-end-to-end-ml-platforms/ A Tour of End-to-End Machine Learning PlatformsIan Hellström21 February 2020 “What turns a collection of machine learning solutions into an end-to-end machine learning platform is an architecture that embracesContinue readingWhat I Read: End-to-End Machine Learning Platforms

What I Read: ScaNN, Efficient Vector Similarity Search

By Andrew Fairless on January 14, 2021December 23, 2020

https://www.googblogs.com/announcing-scann-efficient-vector-similarity-search/ Announcing ScaNN: Efficient Vector Similarity SearchPosted by Philip Sun, Software Engineer, Google Research “Based on this intuition, we more heavily penalize quantization error that is parallel to the originalContinue readingWhat I Read: ScaNN, Efficient Vector Similarity Search

What I Read: Snorkel Tutorial to Predict Multiple Sclerosis

By Andrew Fairless on January 13, 2021December 23, 2020

https://medium.com/swlh/a-snorkel-tutorial-using-clinical-notes-to-predict-multiple-sclerosis-severity-scores-e3863801630f A Snorkel Tutorial Using Clinical Notes to Predict Multiple Sclerosis Severity ScoresNLP4HJul 13 “In this tutorial, we will walk through the process of using Snorkel to generate labels forContinue readingWhat I Read: Snorkel Tutorial to Predict Multiple Sclerosis

What I Read: Patients aren’t being told about AI systems

By Andrew Fairless on January 11, 2021December 23, 2020

https://www.statnews.com/2020/07/15/artificial-intelligence-patient-consent-hospitals/ An invisible hand: Patients aren’t being told about the AI systems advising their careBy Rebecca Robbins @rebeccadrobbins and Erin Brodwin @erbrodJuly 15, 2020 “An AI system’s recommendation, after all,Continue readingWhat I Read: Patients aren’t being told about AI systems

Tag: machine learning