Remove Data Collection Remove Data Processing Remove Data Quality Remove Publishing
article thumbnail

Visualizing COVID-19 Data Responsibly: An Interview with Amanda Makulec

Depict Data Studio

They host monthly meet-ups, which have included hands-on workshops, guest speakers, and career panels. Data Visualization Society. Amanda said, “There are different points in which we make decisions about how and what we visualize, and then how we publish and share. COVID-19 Data Quality Issues. DataViz DC.

article thumbnail

What you need to know about product management for AI

O'Reilly on Data

But there’s a host of new challenges when it comes to managing AI projects: more unknowns, non-deterministic outcomes, new infrastructures, new processes and new tools. You might establish a baseline by replicating collaborative filtering models published by teams that built recommenders for MovieLens, Netflix, and Amazon.

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

Measuring Validity and Reliability of Human Ratings

The Unofficial Google Data Science Blog

Measurement challenges Assessing reliability is essentially a process of data collection and analysis. To do this, we collect multiple measurements for each unit of observation, and we determine if these measurements are closely related. Both published articles in the same volume of the British Journal of Psychology.

article thumbnail

The Gartner 2022 Leadership Vision for Data and Analytics Leaders Questions and Answers

Andrew White

On Thursday January 6th I hosted Gartner’s 2022 Leadership Vision for Data and Analytics webinar. I try to relate as much published research as I can in the time available to draft a response. I would take a look at our Top Trends for Data and Analytics 2021 for additional AI, ML and related trends.