Is there any place for software engineers that do not learn AI or Machine Learning in the next 10 years or does everyone have to learn it?
Is there any place for software engineers that do not learn AI or Machine Learning in the next 10 years or does everyone have to learn it?. Do You mister or misses own this kind of uncertainty?, If yes then please get the best tips right after this line:
Machine Learning will be (or perhaps already is) such an important part of software engineering that everyone will have to understand where it fits in. But just like, say, database administration or user interface design, that doesn’t mean every engineer will have to be an expert in doing machine learning—it will be acceptable to work with others who are expert. But the more you know about machine learning, the better you will be at architecting a solution.
I also think that it will be important for machine learning experts and software engineers to come together to develop best practices for software development of machine learning systems. Currently we have a software testing regime where you define unit tests with calls to methods like assertTrue or assertEquals. We will need new testing processes that involve running experiments, analyzing the results, comparing today’s results to past results to look for drift, deciding if the drift is random variation or non-stationarity of the data, etc. This is a great area for software engineers and machine learning people to work together to build something new and better.
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