Andrew Fairless – Page 35 – Andrew Fairless, Ph.D.

What I Read: data-driven companies

By Andrew Fairless on September 14, 2022August 22, 2022

https://benn.substack.com/p/do-data-driven-companies-win Do data-driven companies actually win?Some gut-based judgements on the effectiveness of data.Jul 22 “Data offers the same promise…. Though it makes us a bit more informed in each decision,Continue readingWhat I Read: data-driven companies

What I Read: BLOOM Training

By Andrew Fairless on September 12, 2022August 3, 2022

https://huggingface.co/blog/bloom-megatron-deepspeed The Technology Behind BLOOM TrainingStas BekmanPublished July 14, 2022. “…training ever larger language models has become the norm… the hidden knowledge about how to train such models rarely getsContinue readingWhat I Read: BLOOM Training

What I Read: Mistakes, Recommendation System

By Andrew Fairless on September 7, 2022August 3, 2022

https://medium.com/@FunCorp/ten-mistakes-to-avoid-when-creating-a-recommendation-system-8268ed60aeba Ten Mistakes to Avoid When Creating a Recommendation SystemFunCorpAuthor: Alexander Dzhumurat, Lead of DS team at FunCorp.Jul 27 “Here are our ten key lessons of implementing recommendation systems inContinue readingWhat I Read: Mistakes, Recommendation System

What I Read: Transformers in computer vision

By Andrew Fairless on September 6, 2022August 3, 2022

https://theaisummer.com/transformers-computer-vision/ Transformers in computer vision: ViT architectures, tips, tricks and improvementsNikolas Adaloglouon2021-10-21 “You are probably already aware of the Vision Transformer (ViT)…. We will address questions like how can youContinue readingWhat I Read: Transformers in computer vision

What I Read: Is Data Scientist Still the Sexiest Job?

By Andrew Fairless on September 5, 2022August 3, 2022

https://hbr.org/2022/07/is-data-scientist-still-the-sexiest-job-of-the-21st-century Is Data Scientist Still the Sexiest Job of the 21st Century?Thomas H. Davenport and DJ PatilJuly 15, 2022 “Ten years ago we published the article “Data Scientist: Sexiest JobContinue readingWhat I Read: Is Data Scientist Still the Sexiest Job?

What I Read: Short Time Series

By Andrew Fairless on September 1, 2022August 3, 2022

https://minimizeregret.com/short-time-series-prior-knowledge Modeling Short Time Series with Prior KnowledgeWhat ‘Including Prior Information’ really looks like.Tim Radtke2019-04-16 “It is generally difficult to model time series when there is insuffient data to modelContinue readingWhat I Read: Short Time Series

What I Read: Large Language Models

By Andrew Fairless on August 31, 2022August 3, 2022

https://leighmariebraswell.substack.com/p/overview-and-applications-of-large Overview & Applications of Large Language Models (LLMs)From perspective of an investor & previous early-stage operator in the spaceLeigh Marie BraswellJul 15 “Github’s Copilot product is an example ofContinue readingWhat I Read: Large Language Models

What I Read: How Find Great Developers

By Andrew Fairless on August 29, 2022August 3, 2022

https://freakingrectangle.com/2022/04/15/how-to-freaking-hire-great-developers/How to Freaking Find Great Developers By Having Them Read CodeApril 15, 2022 by freakingrectangle “When hiring developers… I have found that raw coding ability is easily the most importantContinue readingWhat I Read: How Find Great Developers

What I Read: Anomaly Detection Metrics

By Andrew Fairless on August 25, 2022July 18, 2022

https://medium.com/@katser/a-review-of-anomaly-detection-metrics-with-a-lot-of-related-information-736d88774712 A Review of Anomaly Detection MetricsIurii KatserJul 12 “Anomaly detection… is a problem… to identify unusual patterns that do not conform to expected behavior…. we will talk about anomalyContinue readingWhat I Read: Anomaly Detection Metrics

What I Read: Estimating Model Performance

By Andrew Fairless on August 23, 2022July 18, 2022

https://pub.towardsai.net/estimating-model-performance-without-ground-truth-453b850dad9a Estimating Model Performance without Ground TruthIt’s possible, as long as you keep your probabilities calibratedMichał OleszakMay 12 “A model in production is like a baby: it needs to beContinue readingWhat I Read: Estimating Model Performance

Author: Andrew Fairless