Remove 2017 Remove Experimentation Remove Interactive Remove Modeling
article thumbnail

Towards optimal experimentation in online systems

The Unofficial Google Data Science Blog

Experiments, Parameters and Models At Youtube, the relationships between system parameters and metrics often seem simple — straight-line models sometimes fit our data well. That is true generally, not just in these experiments — spreading measurements out is generally better, if the straight-line model is a priori correct.

article thumbnail

6 trends framing the state of AI and ML

O'Reilly on Data

Reinforcement learning fell by 5% in 2019; it’s up hugely—1,500+%—since 2017, however. The chatbot was one of the first applications of AI in experimental and production usage. This likely doesn’t portend the end of interactions with occasionally helpful—and still sometimes horrifying —customer service chatbots.

Insiders

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

Trending Sources

article thumbnail

New Format for The Bar Chart Reference Page

The Data Visualisation Catalogue

A Model of Perceptual Task Effort for Bar Charts and its Role in Recognizing Intention. User Modeling and User-Adapted Interaction , 16(1), 1–30. Journal of Experimental Psychology: Applied, 4 (2), 119–138. Qu, H., & Sedlmair, M. Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems.

article thumbnail

Digital listening reveals 3 leading innovation drivers

CIO Business Intelligence

It surpasses blockchain and metaverse projects, which are viewed as experimental or in the pilot stage, especially by established enterprises. higher [in 2022] than in 2017.” AI Opportunities Generative AI is the basis for sophisticated AI models such as ChatGPT and Dall-E.

article thumbnail

Themes and Conferences per Pacoid, Episode 9

Domino Data Lab

Paco Nathan’s latest article features several emerging threads adjacent to model interpretability. I’ve been out themespotting and this month’s article features several emerging threads adjacent to the interpretability of machine learning models. Machine learning model interpretability. Adrian Weller (2017-07-29). “

article thumbnail

Themes and Conferences per Pacoid, Episode 11

Domino Data Lab

Paco Nathan ‘s latest article covers program synthesis, AutoPandas, model-driven data queries, and more. Using ML models to search more effectively brought the search space down to 102—which can run on modest hardware. A Program Synthesis Primer ” – Aws Albarghouthi (2017-04-24). Model-Driven Data Queries.

Metadata 105
article thumbnail

Themes and Conferences per Pacoid, Episode 6

Domino Data Lab

Spoiler alert: a research field called curiosity-driven learning is emerging at the nexis of experimental cognitive psychology and industry use cases for machine learning, particularly in gaming AI. Ensure a culture that supports a steady process of learning and experimentation. This is not that. Or something.