Today we are introducing a new series solving Data Science interview questions at these same companies. We will solve three simple problems asked at Facebook for a Data Science role.
We have so far solved a few algorithmic/coding problems asked in programming interviews across some of the best companies in the world. Today we are introducing a new series solving Data Science interview questions at these same companies. Many of these places do not have a specialized role for Data Scientists (although that’s changing rapidly). For the rest, a Data Scientist typically solves a logical/mathematical puzzle on a whiteboard. Few of these interviews also ask deep/technical questions on SQL. The rest of the interviews are almost identical to the algorithmic/coding interviews that we have seen so far in this blog. Today, we will solve three simple problems asked at Facebook for a Data Science role. Read along…
Three ants are sitting at the corners of an equilateral triangle. Each ant randomly picks a direction and starts moving along the edge of the triangle. What is the probability that none of the ants collide? Now, what if it is k ants on all k corners of an equilateral polygon?
Let’s start simple, shall we? Here are two ways of solving this problem, both should be obvious after a little thought:
To make the most out of the benefits of offshore software development, you should understand the crucial factors that affect offshore development.
Data Science and Analytics market evolves to adapt to the constantly changing economic and business environments. Our latest survey report suggests that as the overall Data Science and Analytics market evolves to adapt to the constantly changing economic and business environments, data scientists and AI practitioners should be aware of the skills and tools that the broader community is working on. A good grip in these skills will further help data science enthusiasts to get the best jobs that various industries in their data science functions are offering.
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The agenda of the talk included an introduction to 3D data, its applications and case studies, 3D data alignment and more.
Topics to study and 20 problems to look over