all AI news
How Much Data Do We Need? Balancing Machine Learning with Security Considerations
Dec. 15, 2023, 10:25 p.m. | Stephanie Kirmer
Towards Data Science - Medium towardsdatascience.com
For a data scientist, there’s no such thing as too much data. But when we take a broader look at the organizational context, we have to balance our goals with other considerations.
Data Science vs Security/IT: A Battle for the Ages
Acquiring and keeping data is the focus of a huge amount of our mental energy as data scientists. If you ask a data scientist “Can we solve this problem?” the first question most …
balance context data data engineering data science data scientist data security look machine machine learning notes-from-industry photo science security university
More from towardsdatascience.com / Towards Data Science - Medium
Jobs in AI, ML, Big Data
Data Architect
@ University of Texas at Austin | Austin, TX
Data ETL Engineer
@ University of Texas at Austin | Austin, TX
Lead GNSS Data Scientist
@ Lurra Systems | Melbourne
Senior Machine Learning Engineer (MLOps)
@ Promaton | Remote, Europe
Business Intelligence Manager
@ Sanofi | Budapest
Principal Engineer, Data (Hybrid)
@ Homebase | Toronto, Ontario, Canada