14 Probability problems for acing Data Science interviews
<p><em>Questions on probability are very common in any Data Science interview. The questions might be challenging (and tricky) but are easily tractable if you have some practice and know basic formulas and concepts. In this blog, I share some practice questions (with solutions) on different concepts in probability.</em></p>
<p><strong>Keywords</strong>: <em>Probability, Binomial distribution, Bayes theorem</em></p>
<p>The blog assumes the reader knows basic probability formulas and concepts. Please refer to the reference section for some good reading materials on these concepts. I would recommend the readers to first try and solve the questions themselves on a piece of paper and then head to the hints and solutions. Note: there might be many different ways of doing the same problem. The solution provided is just one of the ways (might be the only way).</p>
<p><a href="https://towardsdatascience.com/14-probability-problems-for-acing-data-science-interviews-3735025a6425"><strong>Website</strong></a></p>