Data Science and Beyond

APRIL 5, 2021

The Australian bushfires of 2019-20 provided me with extra motivation to help nudge Automattic to do more in the fight against climate change. Finally, I was surprised and honoured to receive the Scoresby Shepherd Award for doing the most RLS surveys in the 2019-20 financial year. Only time will tell. Sustainability.

Experimentation 61

Experimentation Testing Publishing Data Collection 61

CIO Business Intelligence

JUNE 27, 2022

We rely heavily on automated testing. You pointed to frontend as a key area in 2019. A lot of the current approaches feel very experimental and are tough to see as maintainable, so there’s certainly still room for growth here. Tyson: That belief in your vision when it’s tested—that is tough! I thought, really?!

Software 115

Software Experimentation Testing Marketing 115

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. In 2019, it acquired ParallelM, the leader in machine learning operations. DataRobot Continues Investment in MLOps and New Features.

Experimentation 52

Experimentation Machine Learning Reporting Data Science 52

Smarten

MAY 11, 2017

Advanced Data Discovery allows business users to perform early prototyping and to test hypothesis without the skills of a data scientist, ETL or developer. Advanced Data Discovery ensures data democratization by enabling users to drastically reduce the time and cost of analysis and experimentation.

Experimentation 49

Experimentation Visualization Business Intelligence Predictive Analytics 49

Domino Data Lab

JULY 2, 2019

See also: Caroline Lemieux’s slides for that NeurIPS talk, and Rohan Bavishi’s video from the RISE Summer Retreat 2019. Program Synthesis 101 ” – Alexander Vidiborskiy (2019-01-20). Automatic Program Synthesis of Long Programs with a Learned Garbage Collector ” – Amit Zohar, Lior Wolf (2019-01-22). Software writes Software?

Metadata 105

Metadata Data Science Machine Learning Data-driven 105

Ontotext

AUGUST 8, 2024

Clinical diagnostics labs help clinicians diagnose, treat, and manage patients by testing and analyzing human specimens. And up until recently, the lab tests were relatively simple, point-in-time snapshots of a single quantitative result. Laboratory testing workflows were easily satisfied by this software.

Informatics 64

Informatics Snapshot Software Testing 64

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

Domino Data Lab

MAY 8, 2019

They also require advanced skills in statistics, experimental design, causal inference, and so on – more than most data science teams will have. Agile was originally about iterating fast on a code base and its unit tests, then getting results in front of stakeholders. evaluate the effects of models on human subjects. Agile to the core.

Machine Learning 105

Machine Learning Data Science Modeling Visualization 105

CIO Business Intelligence

MARCH 10, 2022

IBM’s current mainframe models, the z15 T01 and z15 T02, were introduced in September 2019 and May 2020 respectively, and the company still offers follow-on service for machines right back to the zEC12 released in September 2012. The z900 also had one of the longest periods of follow-on service, at 8.5

Sales 130

Sales Testing Experimentation Data Processing 130

O'Reilly on Data

DECEMBER 9, 2019

We use the diagnostic test results of our regression model to support the reasons why CIs should not be used in financial data analyses. As the number of experimental trials N approaches infinity, the probability of E equals M/N. Output of Statsmodels summarizing the linear regression results of AAPL’s MM from 10/20/2017 to 10/21/2019.

Statistics 31

Statistics Uncertainty Risk Marketing 31

O'Reilly on Data

JULY 25, 2023

For instance, if I’m reading a paper from 2019, a popular song from that year could start playing. Swift Papers felt like a well-scoped project to test how well AI handles a realistic yet manageable real-world programming task. And if I switch tabs to view a paper from 2008, then a song from 2008 could start up.

Consulting 246

Consulting Interactive Software Metadata 246