2022 – Page 3 – Andrew Fairless, Ph.D.

What I Read: end-to-end, infrastructure, recommendations

By Andrew Fairless on November 7, 2022September 27, 2022

Recommend API Recommend APIUnified end-to-end machine learning infrastructure to generate recommendationsKatrina Ni Senior Software Engineer, Machine LearningAaron Maurer Senior Manager, Software EngineeringSeptember 6, 2022 “…we developed a unified framework weContinue readingWhat I Read: end-to-end, infrastructure, recommendations

What I Read: Neural Tangent Kernel

By Andrew Fairless on November 2, 2022September 27, 2022

https://lilianweng.github.io/posts/2022-09-08-ntk/ Some Math behind Neural Tangent KernelLilian WengSeptember 8, 2022 “Neural tangent kernel… leads to great insights into why neural networks with enough width can consistently converge to a globalContinue readingWhat I Read: Neural Tangent Kernel

What I Read: ML Engineering

By Andrew Fairless on November 1, 2022September 26, 2022

https://www.shreya-shankar.com/phd-year-one/ Thoughts on ML Engineering After a Year of my PhDJuly 18, 2022Shreya Shankar “There are two types of business-critical MLEs. The first is the Task MLE…”

What I Read: deliberately create data

By Andrew Fairless on October 31, 2022September 9, 2022

https://datacreation.substack.com/p/organizations-need-to-deliberately Organizations need to deliberately create dataWhy we need to stop thinking of data as oilYali SassoonSep 5 “Organizations can and should deliberately create data to power machine learning… theyContinue readingWhat I Read: deliberately create data

What I Read: ML, Engagement, Maternal and Child Health

By Andrew Fairless on October 27, 2022September 9, 2022

https://ai.googleblog.com/2022/08/using-ml-to-boost-engagement-with.html Using ML to Boost Engagement with a Maternal and Child Health Program in IndiaWednesday, August 24, 2022Posted by Aparna Taneja, Software Engineer, and Milind Tambe, Principal Scientist, Google Research,Continue readingWhat I Read: ML, Engagement, Maternal and Child Health

What I Read: Causal Inference

By Andrew Fairless on October 25, 2022September 9, 2022

https://thegradient.pub/causal-inference-connecting-data-and-reality/ Causal Inference: Connecting Data and RealityWenwen Ding04.Sep.2022 “Causal inference is a theory that describes, discriminates, and measures causal relationships, developed from statistics.”

What I Read: Machine Learning Metadata

By Andrew Fairless on October 24, 2022September 9, 2022

https://www.kdnuggets.com/2022/08/machine-learning-metadata-store.html Machine Learning Metadata StoreBy Akruti Acharya, Technical Content WriterAugust 31, 2022 “Storing the metadata would help in retraining the same model and get the same results…. Hence, the needContinue readingWhat I Read: Machine Learning Metadata

What I Read: AI Researcher, Bitter Medicine

By Andrew Fairless on October 20, 2022September 9, 2022

https://www.quantamagazine.org/the-ai-researcher-giving-her-field-its-bitter-medicine-20220830/ The AI Researcher Giving Her Field Its Bitter MedicineMax G. LevyAugust 30, 2022 “In practice, matrix methods in machine learning can’t effectively capture higher-order relationships. Essentially, you can’t learnContinue readingWhat I Read: AI Researcher, Bitter Medicine

What I Read: Structural pattern matching, Python

By Andrew Fairless on October 19, 2022September 9, 2022

https://benhoyt.com/writings/python-pattern-matching/ Structural pattern matching in Python 3.10Ben HoytSeptember 2021 “Part of what I want to do here is evaluate some real code and see how much (or little) pattern matchingContinue readingWhat I Read: Structural pattern matching, Python

What I Read: Zero-Shot, K-Shot Learning

By Andrew Fairless on October 18, 2022September 9, 2022

https://www.datature.io/blog/zero-shot-and-k-shot-learning Comprehensive Guide to Zero-Shot and K-Shot LearningLeonard SoAugust 23, 2022 “Few-shot learning is a type of supervised learning that is intended to rapidly generalise to new tasks containing onlyContinue readingWhat I Read: Zero-Shot, K-Shot Learning

Year: 2022