Description
Machine learning is not a silver bullet. However, there are many situations where it can outperform linear and statistical algorithms.
Summary
- Vyacheslav Gorlov is the Senior Solutions Architect at ClearScale, a cloud-native systems integration, strategic consulting, and application development company.
- Because so many factors may influence an answer, engineers would have to write and frequently update billions of lines of code.
- When you live in an ever-changing universe (adaptive) The world, and its problems, are always changing.
- Moreover, it’s important for production-grade systems to have feedback loops so that you can catch the moment when your model no longer solves problems correctly.