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SF Data Weekly - Simple Models, Design for Neurdivergence and Actual ML Work

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February 11 · Issue #226 · View online
SF Data Weekly
Our pick this week is a piece that argues that you’ll be a more valuable data scientist if you focus on creating simpler models.
We also have a piece on designing visualizations for the neurdivergent, as well as a data scientist sharing five things he actually did at work this year. Stay healthy!

Our Pick
Want To Be A Valuable Data Scientist? Then Don’t Focus On Creating Intricate Models
Data Pipelines
Build a REST API to enable data consumption from Amazon Redshift | Amazon Web Services
Develop a Tailored View of Your Salesforce Customer Data, Acquisition, and Billing
Data Storage
Use AQUA with Amazon Redshift RA3.xlplus nodes | Amazon Web Services
Data Analysis
Boston House Price Prediction | EnjoyAlgorithms
Why You Should Read "Data and Reality" • Buttondown
5 Things That I Actually Did at Work as a Data Scientist in 2021 | by Terence Shin | Feb, 2022 | Towards Data Science
Data Visualization
Designing for Neurodivergent Audiences | Nightingale
February Edition: All Eyes on Data Visualization | by TDS Editors | Feb, 2022 | Towards Data Science
Effective Data Visualizations Should Focus on Narrative, Not Numbers | Nightingale
Data-driven Products
How GE Aviation automated engine wash analytics with AWS Glue using a serverless architecture | Amazon Web Services
Data Engineering Jobs
Who is Business Intelligence (BI) developer? | by Sasha Andrieiev | Feb, 2022 | Medium
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