Andrew Fairless – Page 59 – Andrew Fairless, Ph.D.

What I Read: What is a Data Mesh?

By Andrew Fairless on July 6, 2021June 22, 2021

https://cnr.sh/essays/what-the-heck-data-mesh What the Heck is a Data Mesh?!Chris Riccomini on June 8, 2021 “Yet, organizations don’t think of data as a product…. It would be madness to propose centralizing allContinue readingWhat I Read: What is a Data Mesh?

What I Read: Data Scientists Need to Know How to Code

By Andrew Fairless on July 5, 2021June 22, 2021

https://www.kdnuggets.com/2021/06/data-scientists-need-know-code.html Data Scientists, You Need to Know How to CodeBy Tyler Folkman, Head of AI at Branded Entertainment Network “You write tons of code in Jupyter notebooks, hundreds of lines,Continue readingWhat I Read: Data Scientists Need to Know How to Code

What I Read: Contrastive Representation Learning

By Andrew Fairless on July 1, 2021June 7, 2021

https://lilianweng.github.io/lil-log/2021/05/31/contrastive-representation-learning.html Contrastive Representation Learningby Lilian WengMay 31, 2021 “The goal of contrastive representation learning is to learn such an embedding space in which similar sample pairs stay close to eachContinue readingWhat I Read: Contrastive Representation Learning

What I Read: Basis and Change of Basis

By Andrew Fairless on June 30, 2021June 7, 2021

https://hadrienj.github.io/posts/Essential-Math-for-Data-Science-Change-of-Basis/ Essential Math for Data Science: Basis and Change of Basis01-02-2021Hadrien Jean “One way to understand eigendecomposition is to consider it as a change of basis…. You’ll see that anyContinue readingWhat I Read: Basis and Change of Basis

What I Read: Comprehensive Guide to Ensemble Learning

By Andrew Fairless on June 29, 2021June 7, 2021

https://www.kdnuggets.com/2021/05/comprehensive-guide-ensemble-learning.html A Comprehensive Guide to Ensemble Learning – Exactly What You Need to KnowThis article covers ensemble learning methods, and exactly what you need to know in order to understandContinue readingWhat I Read: Comprehensive Guide to Ensemble Learning

What I Read: Can Model Monitor Another Model?

By Andrew Fairless on June 28, 2021June 7, 2021

https://towardsdatascience.com/can-you-build-a-machine-learning-model-to-monitor-another-model-15ad561d26df Can You Build a Machine Learning Model to Monitor Another Model?Emeli DralMay 28, 2021 “Can you train a machine learning model to predict your model’s mistakes? Nothing stops youContinue readingWhat I Read: Can Model Monitor Another Model?

What I Read: Human-Centered Explainable AI

By Andrew Fairless on June 24, 2021June 7, 2021

https://thegradient.pub/human-centered-explainable-ai/ Towards Human-Centered Explainable AI: the journey so farby Upol EhsanMay 10 2021 3:41 AM “Not only did this system have commendable accuracy, it also tried to explain its decisionContinue readingWhat I Read: Human-Centered Explainable AI

What I Read: What I’ve learned about MLOps

By Andrew Fairless on June 23, 2021June 7, 2021

https://ramseyelbasheer.io/2021/05/17/what-ive-learned-about-mlops-from-speaking-with-100-ml-practitioners/ What I’ve learned about MLOps from speaking with 100+ ML practitionersby Ramsey ElbasheerMay 17, 2021 “Without further ado, here is part of the key takeaways around the everyday MLOpsContinue readingWhat I Read: What I’ve learned about MLOps

What I Read: Hiring Data Scientists

By Andrew Fairless on June 21, 2021June 7, 2021

https://towardsdatascience.com/stop-hiring-data-scientists-improve-ml-product-team-retention-8ae04dac406e?gi=175fec4d5962 Stop (and Start) Hiring Data ScientistsThree “stop & start” tactics to improve talent retentionIan XiaoMay 14 “… we’ve been overly spotlighting the algorithmic work and success of data scienceContinue readingWhat I Read: Hiring Data Scientists

Author: Andrew Fairless