Machine Learning: Saving 2000 Jobs with Less Than 100 Lines of Code

Explore a compelling conference talk from Ubuntu Summit 2023 that demonstrates how machine learning, thermography, and Python were combined to create a small project that saved over 2000 jobs in the pharmaceutical industry. Discover how image processing and machine learning techniques were utilized to predict failures of critical equipment in a pharmaceutical plant. Follow the speaker's scientific thinking process and see how it was translated into less than 100 lines of code. Learn about the implementation of image processing formulas and gain insights into the development of this cost-effective, job-saving project. Understand the impact of freely developed solutions in preserving employment and reducing expenses in the pharmaceutical sector.

ML saving 2000 jobs with less than 100 lines of code