Incorporating Machine Learning into a Shipping Company's Day Job
Analysis
The article describes a developer's challenge in finding a practical application for machine learning within their current role at a shipping company. The core issue is identifying a problem that necessitates ML over traditional database solutions. The developer has the technical skills (PyTorch, NumPy, Pandas) but lacks a clear use case. The supportive boss provides an opportunity for side projects.
Key Takeaways
- •The primary challenge is identifying a suitable problem for ML application within a shipping company.
- •The developer possesses the technical skills but lacks a concrete use case.
- •The supportive work environment allows for exploration of side projects.
- •The core issue is the perceived overlap in functionality between ML and traditional database solutions.
Reference
“I'd like to find a practical side project using machine learning and/or data science that could add value at work, but for the life of me I can't come up with any problems that I couldn't solve with a relational database (postgres) and a data transformation step.”