Table of Contents
Is competitive coding necessary for data science?
Data science, in other hand, is also solving problems, but it doesn’t involve algorithms implementation to it. Therefore, it’s a different field. It still worth pursuing competitive programming if you want to solve a new data science problem that don’t have any implementation of given ML algorithm.
Is competitive programming useful for interviews?
As you get used to solving harder and harder problem in contests, you will easily be able to answer questions asked in technical interview. Competitive programming also increases your problem solving speed which provides a edge to you over other applicants.
Is data structures required for machine learning?
If you want to solve some real-world problems and design a cool product or algorithm, then having machine learning skills is not enough. You would need good working knowledge of data structures. There are two ways to classify data structures: by their implementation and by their operation.
Is it worth pursuing competitive programming in data science?
Data science, in other hand, is also solving problems, but it doesn’t involve algorithms implementation to it. Therefore, it’s a different field. It still worth pursuing competitive programming if you want to solve a new data science problem that don’t have any implementation of given ML algorithm.
What is the difference between competitive programming and machine learning?
In competitive programming thinking about edge cases and knowing how to solve them can make a huge difference. In machine learning doing error analysis on why ML algorithm doesn’t handle edge cases can help. I’m still confused about the difference between data analyst, data engineer, and a data scientist.
Why is competitive programming so challenging?
Competitive programming has become a popular competition on computer science community until now. For me, competitive programming is challenging because you have to solve the problem and solve it using algorithms that exist or implementing your own algorithm.
Is competitive programming still worth pursuing in 2019?
It still worth pursuing competitive programming if you want to solve a new data science problem that don’t have any implementation of given ML algorithm. Also, it’s worth to pursue if you want to become a software engineer because it has lots of algorithm implementation to it.