May 10, 2023, 3:17 a.m. | Hennie de Harder

Towards Data Science - Medium towardsdatascience.com

Image created with Midjourney by the author.

Why spending a lot of time and effort on a complex model is a bad idea, and what to do instead

Many businesses are eager to adopt machine learning to improve their products and services. However, many data scientists get too caught up in creating the perfect model and using state of the art techniques. By doing this, they forget the most important thing: delivering a functional minimum viable product (MVP). In this …

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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

Alternant Data Engineering

@ Aspire Software | Angers, FR

Senior Software Engineer, Generative AI

@ Google | Dublin, Ireland