Top Important Probability Interview Questions & Answers for Data Scientists [Conceptual Questions]
<p>Probability theory is essential for data scientists, helping them make sense of data and draw meaningful insights. This article simplifies complex probability concepts commonly asked in data science interviews.</p>
<p>Starting with the basics, it explains why probability matters in data science and covers different types of probability. It also breaks down discrete and continuous random variables and teaches how to find expected values and variances.</p>
<p>The article then moves on to joint and marginal probability before diving into probability distributions like PMFs and PDFs. It explains key distributions like Bernoulli, Binomial, and Poisson. Next, it tackles fundamental principles such as Bayes’ Theorem, the Law of Large Numbers, and the Central Limit Theorem.</p>
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