machine learning – Page 23 – Andrew Fairless, Ph.D.

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: 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: 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

What I Read: Emergent Features

By Andrew Fairless on October 6, 2022August 22, 2022

LLM.int8() and Emergent Features LLM.int8() and Emergent Features2022-08-17 by Tim Dettmers “…I use advanced quantization methods to achieve no performance degradation transformer inference at scale that makes large models moreContinue readingWhat I Read: Emergent Features

What I Read: Self-Taught AI, Brain

By Andrew Fairless on October 4, 2022August 22, 2022

https://www.quantamagazine.org/self-taught-ai-shows-similarities-to-how-the-brain-works-20220811/ Self-Taught AI Shows Similarities to How the Brain WorksAnil AnanthaswamyContributing WriterAugust 11, 2022 “Self-supervised learning allows a neural network to figure out for itself what matters. The process mightContinue readingWhat I Read: Self-Taught AI, Brain

What I Read: Testing Firefox, machine learning

By Andrew Fairless on September 29, 2022August 22, 2022

https://hacks.mozilla.org/2020/07/testing-firefox-more-efficiently-with-machine-learning/ Testing Firefox more efficiently with machine learningBy Andrew Halberstadt, Marco CastelluccioPosted on July 9, 2020 “Even with all of these optimizations our CI still runs around 10 compute yearsContinue readingWhat I Read: Testing Firefox, machine learning

What I Read: Robot Learned, Scraping Web

By Andrew Fairless on September 28, 2022August 22, 2022

https://www.wired.com/story/google-robot-learned-to-take-orders-by-scraping-the-web/ Google’s New Robot Learned to Take Orders by Scraping the WebWill KnightBusinessAug 16, 2022 10:00 AM “The machine learning technique that taught notorious text generator GPT-3 to write canContinue readingWhat I Read: Robot Learned, Scraping Web

What I Read: Concept Drift Without Labeled Data

By Andrew Fairless on September 26, 2022August 22, 2022

https://concept-drift.fastforwardlabs.com/ Inferring Concept Drift Without Labeled DataFF22Aug 2021 “…we explore broadly applicable approaches for dealing with concept drift when labeled data is not readily accessible. We’ll start by defining whatContinue readingWhat I Read: Concept Drift Without Labeled Data

Tag: machine learning