June 2021 – Andrew Fairless, Ph.D.

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

What I Read: Make Python Code Fast

By Andrew Fairless on June 17, 2021June 7, 2021

https://www.kdnuggets.com/2021/06/make-python-code-run-incredibly-fast.html How to Make Python Code Run Incredibly FastIn this article, I have explained some tips and tricks to optimize and speed up Python code.By Pralabh Saxena, Software Developer “InContinue readingWhat I Read: Make Python Code Fast

What I Read: Knowledge Graphs with Language Model

By Andrew Fairless on June 16, 2021June 7, 2021

https://ai.googleblog.com/2021/05/kelm-integrating-knowledge-graphs-with.html KELM: Integrating Knowledge Graphs with Language Model Pre-training CorporaThursday, May 20, 2021Posted by Siamak Shakeri, Staff Software Engineer and Oshin Agarwal, Research Intern, Google Research “Alternate sources of informationContinue readingWhat I Read: Knowledge Graphs with Language Model

What I Read: Dataset Curation for NLP Projects

By Andrew Fairless on June 15, 2021May 30, 2021

https://www.kdnuggets.com/2021/05/4-tips-dataset-curation-nlp-projects.html 4 Tips for Dataset Curation for NLP ProjectsBy Paul Barba, Chief Scientist, Lexalytics. “After many years of painfully learned lessons from managing and implementing AI and ML projects, I’veContinue readingWhat I Read: Dataset Curation for NLP Projects

Month: June 2021