Andrew Fairless – Page 65 – Andrew Fairless, Ph.D.

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

What I Read: Deploying Machine Learning, a Survey of Case Studies

By Andrew Fairless on February 23, 2021February 3, 2021

https://arxiv.org/abs/2011.09926 Challenges in Deploying Machine Learning: a Survey of Case StudiesAndrei Paleyes, Raoul-Gabriel Urma, Neil D. Lawrence “This survey reviews published reports of deploying machine learning solutions in a varietyContinue readingWhat I Read: Deploying Machine Learning, a Survey of Case Studies

What I Read: Introduction to Graph Neural Networks

By Andrew Fairless on February 23, 2021April 3, 2021

https://blog.exxactcorp.com/a-friendly-introduction-to-graph-neural-networks/ Deep LearningA Friendly Introduction to Graph Neural NetworksMarketing, November 11, 2020 “Graph neural networks (GNNs) belong to a category of neural networks that operate naturally on data structured asContinue readingWhat I Read: Introduction to Graph Neural Networks

What I Read: Associative Memories

By Andrew Fairless on February 22, 2021January 27, 2021

https://thegradient.pub/dont-forget-about-associative-memories/ Don’t Forget About Associative Memories07.Nov.2020Robert BatesRobert is a Principal Engineer II with Veloxiti. He holds an MSCS in ML from Georgia Tech + MBA in Finance from Saint Edward’s.Continue readingWhat I Read: Associative Memories

Author: Andrew Fairless