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What problem can be solved using a genetic algorithm (machine learning) on big data?
I was given a topic for the course "Machine learning algorithms for Big data", the task was not specified. I chose the genetic algorithm, and how can I apply it? For what tasks? Or advise a different algorithm for other tasks, but again related to machine learning and big data.
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A few useful links:
For me, the topic is complex. I would like to recommend a specialization on Coursera related to programming and genomic data (in English).
You can solve the problem of symbolic regression.
Here, for example, there is an article about it on Habrahabr: https://habrahabr.ru/post/163195/
Instead of basic functions (addition, multiplication, etc.), you can pervert and screw on neural networks, gradient boosting, etc.
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