Building data science infrastructure
"Presented by Caitlin Hudon, Lead Data Scientist at OnlineMedEd. Before AI, before machine learning and pipelines, and before dashboards and BI, an organization starts with a pile of data, some business questions, and a few ideas on how to connect the two -- a greenfield, and an entry point for...
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| Format: | Online Video |
| Language: | Inglés |
| Published: |
[Austin, Texas] :
Data Science Salon
2020.
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| See on Biblioteca Universitat Ramon Llull: | https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009822822706719 |
| Summary: | "Presented by Caitlin Hudon, Lead Data Scientist at OnlineMedEd. Before AI, before machine learning and pipelines, and before dashboards and BI, an organization starts with a pile of data, some business questions, and a few ideas on how to connect the two -- a greenfield, and an entry point for data science. Answering business questions and turning raw data into insights, models, and products means more than just writing code and doing analysis. A successful data science team needs tools, a communication strategy, thoughtful infrastructure, and a plan to deliver on their goals. This talk will cover how to tackle greenfield data science challenges from the perspective of the first data science hire in an organization, and how to build data science infrastructure from the ground up."--Resource description page. |
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| Item Description: | Title from resource description page (Safari, viewed October 6, 2020). Place of publication from title screen. |
| Physical Description: | 1 online resource (1 streaming video file (22 min., 28 sec.)) : digital, sound, color |
