Ethics in Data
This session will explore a variety of considerations that modern data scientists and data practictioners must account for when gathering and presenting data, including topics on bias, construct analysis, and machine learning.
6 RecordingsWilliam Assaf (@william_a_dba), a senior content developer on the SQL-Docs team. Formerly a Data Platform MVP and a consultant, William currently works with Microsoft product groups on content related to Microsoft SQL offerings, specifically over SQL performance, and Azure SQL DB, Big Data Clusters, and Azure Synapse.
Christine Assaf is your friendly neighborhood HR Manager. With over 12 years in human resources experience, Christine has a BS in Business Management, received her HR certification at LSU, and is currently a grad student in I/O Psychology at Colorado State. She is currently employed with Waste Management as the HR Generalist for the Gulf Coast Market Area.
- Data 3 Recordings