February 2021 – Andrew Fairless, Ph.D.

What I Watch: The medical test paradox, Can redesigning Bayes rule help?

By Andrew Fairless on February 28, 2021February 27, 2021

https://youtu.be/lG4VkPoG3ko The medical test paradox: Can redesigning Bayes rule help?Dec 22, 20203Blue1Brown “In short, an accurate test is not necessarily a predictive test… of all of the places for mathContinue readingWhat I Watch: The medical test paradox, Can redesigning Bayes rule help?

What I Read: NeRF Explosion 2020

By Andrew Fairless on February 28, 2021February 23, 2021

https://dellaert.github.io/NeRF/NeRF Explosion 2020Published: December 16, 2020 “Neural volume rendering refers to methods that generate images or video by tracing a ray into the scene and taking an integral of someContinue readingWhat I Read: NeRF Explosion 2020

What I Read: Dismal Spring Awaits Unless We Slow Covid-19

By Andrew Fairless on February 27, 2021February 23, 2021

https://www.nytimes.com/2021/02/17/opinion/covid-19-precautions.html A Dismal Spring Awaits Unless We Slow the Spread of Covid-19How soon life returns to normal depends on what we do now.By Ezekiel J. Emanuel, Rick Bright and CélineContinue readingWhat I Read: Dismal Spring Awaits Unless We Slow Covid-19

What I Read: XGBoost, What it is

By Andrew Fairless on February 27, 2021February 18, 2021

https://www.kdnuggets.com/2020/12/xgboost-what-when.html XGBoost: What it is, and when to use itBy Harish Krishna, Praxis Business School “XGBoost is a tree based ensemble machine learning algorithm…”

What I Read: Can you trust AutoML?

By Andrew Fairless on February 26, 2021February 18, 2021

https://medium.com/analytics-vidhya/can-you-trust-automl-3a02332e66a0 Can you trust AutoML?Ioannis TsamardinosDec 2 “AutoML platforms try hundreds or even thousands of different ML pipelines… Do existing AutoML libraries and platforms return reliable estimates of the performanceContinue readingWhat I Read: Can you trust AutoML?

What I Read: MLOps Changing How Machine Learning Models Developed

By Andrew Fairless on February 26, 2021February 18, 2021

https://www.kdnuggets.com/2020/12/mlops-changing-machine-learning-developed.html MLOps Is Changing How Machine Learning Models Are DevelopedBy Henrik Skogstrom, Head of Growth at Valohai “Let’s look at three ways that MLOps changes how machine learning is developed:Continue readingWhat I Read: MLOps Changing How Machine Learning Models Developed

What I Read: Feature Store vs Data Warehouse

By Andrew Fairless on February 25, 2021February 18, 2021

https://www.logicalclocks.com/blog/feature-store-vs-data-warehouse ML Engineer Guide: Feature Store vs Data WarehouseOctober 8, 2020ML Best Practicesby Jim Dowling “The feature store is a data warehouse of features for machine learning (ML). Architecturally, itContinue readingWhat I Read: Feature Store vs Data Warehouse

What I Watch: Modern Machine Learning Platform on Kubernetes

By Andrew Fairless on February 24, 2021February 27, 2021

https://youtu.be/CbiJ_dYZXnQ Building a Modern Machine Learning Platform on Kubernetes | LyftJan 2, 2019Data Council “Lyft ML Platform provides tools to accelerate model development, training and serving. Lyft runs it’s MLContinue readingWhat I Watch: Modern Machine Learning Platform on Kubernetes

Month: February 2021