Transitioning from Software Engineering to Machine Learning Engineering
Learn about the key mindset differences between Machine Learning Engineering (MLE) and Software Engineering (SWE). Mustafa Ispir shares his experience transitioning from Software Engineer to Machine Learning Engineer and the importance of understanding the different complexities within each subset. Find out what a typical workday looks like for each role and how they differ, from planning to defining success.
Resources:
Learn ML → https://goo.gle/3LKeani
Chapters:
0:00 - Intro
1:41 - Implementation vs experimentation
2:41 - Coding vs Analysis
3:27 - Modular interface vs complex dependencies
4:38 - Functionality vs quality
6:01 - Unit Test vs evaluation
7:21 - Complexity vs complicated
8:27 - Recap
#TensorFlow #softwareengineers #ml
Products mentioned: TensorFlow - General, TensorFlow - TensorFlow Core