Domino Data Lab

FEBRUARY 4, 2019

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. I took this tangent for two reasons. ethics in AI.

Data Science 66

Data Science Experimentation Data-driven Machine Learning 66

O'Reilly on Data

JULY 25, 2023

So far I’ve read a gazillion blog posts about people’s experiences with these AI coding assistance tools. For instance, if I’m reading a paper from 2019, a popular song from that year could start playing. If you’re reading this, chances are you’ve played around with using AI tools like ChatGPT or GitHub Copilot to write code for you.

Consulting 246

Consulting Interactive Software IT 246

Sisense

JANUARY 7, 2020

There’s no pressure to produce perfect results, we’ve built an atmosphere that encourages continual experimentation and rewards those who help others. He was the co-founder and CEO of Periscope Data, which merged with Sisense in May 2019. A vision for builders.

Experimentation 93

Experimentation Optimization Data Analytics Marketing 93

Ontotext

DECEMBER 30, 2022

9 years of research, prototyping and experimentation went into developing enterprise ready Semantic Technology products. In 2019 the market for graph databases and knowledge graphs started heating up – appearing on Gartner’s hype curves in 2018. The first 18 years: Develop vision and products and deliver to innovation leaders.

Enterprise 52

Enterprise Sales Cost-Benefit Marketing 52

Ontotext

DECEMBER 30, 2022

9 years of research, prototyping and experimentation went into developing enterprise ready Semantic Technology products. In 2019 the market for graph databases and knowledge graphs started heating up – appearing on Gartner’s hype curves in 2018. The first 18 years: Develop vision and products and deliver to innovation leaders.

Enterprise 52

Enterprise Sales Cost-Benefit Marketing 52

Domino Data Lab

MAY 8, 2019

Finale Doshi-Velez, Been Kim (2017-02-28) ; see also the Domino blog article about TCAV. They also require advanced skills in statistics, experimental design, causal inference, and so on – more than most data science teams will have. Jupyter Book: Interactive books running in the cloud ” by Chris Holdgraf (2019-03-27).

Machine Learning 105

Machine Learning Data Science Modeling Visualization 105

Perceptual Edge

AUGUST 26, 2019

A serious approach would begin with a thorough understanding of data visualization, which is not Pangilinan’s area of expertise, and would then proceed scientifically by designing and running experimental studies to test its usefulness. Her case is hollow.

Visualization 52

Visualization Cost-Benefit Interactive Experimentation 52

O'Reilly on Data

DECEMBER 9, 2019

Recall from my previous blog post that all financial models are at the mercy of the Trinity of Errors , namely: errors in model specifications, errors in model parameter estimates, and errors resulting from the failure of a model to adapt to structural changes in its environment. Indeed, we do present a key in this blog post.

Statistics 27

Statistics Uncertainty Risk Marketing 27

IBM Big Data Hub

NOVEMBER 6, 2023

1971: Creeper worm Just five years after John von Neumann’s theoretical work was published, a programmer by the name of Bob Thomas created an experimental program called Creeper, designed to move between different computers on the ARPANET , a precursor to the modern Internet.

Software 120

Software IoT Internet of Things Experimentation 120

DataRobot

JUNE 2, 2021

They went on to say that investing in MLOps directly answers one of the biggest questions facing AI practitioners in the enterprise: how to move from experimentation to transformation. This blog post explores some of the most interesting findings in the report about the growing importance of MLOps.

Experimentation 52

Experimentation Machine Learning Reporting Modeling 52

Smarten

MAY 11, 2017

Advanced Data Discovery ensures data democratization by enabling users to drastically reduce the time and cost of analysis and experimentation. By 2019, citizen data scientists will surpass data scientists in the amount of advanced analysis produced.

Experimentation 49

Experimentation Visualization Business Intelligence Predictive Analytics 49