Subject archive for "data," page 6

The team at Domino is proud to be named a Visionary for the second year in a row in Gartner’s Magic Quadrant for Data Science and Machine Learning Platforms. It is exciting to see that companies and industry analysts are increasingly realizing the value of a data science platform, and we’re honored to be recognized. It was particularly gratifying to hear feedback from our customers synthesized and channeled through Gartner’s report.

Grace Tang, Data Scientist at Uber, presented insights, common pitfalls, and “best practices to ensure all experiments are useful” in her Strata Singapore session, “Turning Fails into Wins”. Tang holds a Ph.D. in Neuroscience from Stanford University.

Randi R. Ludwig, Data Scientist at Dell EMC and an organizer of Women in Data Science ATX, covers how to build a Domino web app with Dash in this post.

Mollie Pettit, Data Scientist and D3.js Data Visualization Instructor with Metis, walks data scientists through analysis of Illinois police traffic stop data, presenting a story narrative of Chicago in 2016. Pettit also discusses how, and shows why, data scientists need to be thoughtful and aware of assumptions when analyzing data and presenting a story narrative.

Scott Murdoch, PhD, Director of Data Science at HealthJoy, presents how data scientists can use distribution and modeling techniques to understand the pitfalls in their data and avoid making decisions based on dirty data.

Gene Leynes (Senior Data Scientist) and Nick Lucius (Advanced Analytics) from the City of Chicago discussed two predictive analytics projects that forecasted potential risk involved with E. coli in Lake Michigan and West Nile Virus from mosquitos.