Hackathons and coding challenges are great ways for data science professionals to show their skills in action. But what does it take to repeatedly perform well in these data science challenges? Here is a unique opportunity for the attendees to understand how the top hackers approach various types of problem statements and competitions.
Top Hack or advice to data scientists in the audience
What is your approach in the beginning when you see a problem statement at a hackathon?
How important is computing power when it comes to winning hackathons? What tools do you use?
Is competition/hackathon work useful in real-world production environments?