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Heard In Data Science Interviews: Over 650 Most Commonly Asked Interview Questions & Answers

by Kal Mishra (Author)

3.2 54 ratings

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A collection of over 650 actual Data Scientist/Machine Learning Engineer job interview questions along with their full answers, references, and useful tips

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About the Author

Kalanand Mishra, Ph.D., is a data scientist in San Francisco Bay Area. He has worked in both corporate and startup environments to bring AI-driven innovation in fields as diverse as healthcare, transportation, finance, and cybersecurity. He currently serves as Principal Data Scientist at a Fortune 500 company.

Product details

Publisher ‏ : ‎ CreateSpace Independent Publishing Platform (October 3, 2018)
Language ‏ : ‎ English
Paperback ‏ : ‎ 240 pages
ISBN-10 ‏ : ‎ 1727287320
ISBN-13 ‏ : ‎ 978-1727287325
Item Weight ‏ : ‎ 11.5 ounces
Dimensions ‏ : ‎ 6 x 0.55 x 9 inches

Best Sellers Rank: #1,554,832 in Books (See Top 100 in Books)
- #319 in Artificial Intelligence (Books)
- #3,005 in Artificial Intelligence & Semantics

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3.2 54 ratings

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nitya
Great book. Breadth of topics covered well.
Reviewed in the United States on October 10, 2018
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As Data Scientist interview covers a broad spectrum of topics (and most of us don't work in all at any given point), I was looking for a book that briefly covers all topics for interviews.
This book turned out to be a great find.
I found the book well written, easy to digest and informative. Answers are clear and helpful.
The book covers most popular data/AI topics.
Questions on Computer Science Fundamentals (Chapter 1), Machine Learning (Chapter 3)
and NLP (Chapter 5) turned out to be the most relevant for my interest. Unlike other similar books, this one has no gotcha questions. Highly recommended.

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James Pearce
I wouldn't hire him
Reviewed in the United States on October 6, 2021
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I'm a Data Scientist at a FAANG company and i've conducted over a hundred data science/ML interviews. I bought this book hoping that it might inspire some new interview questions. This book did not inspire a single good question. I'm convinced if I interviewed the author he would fail my interviews. His knowlage of the subject mater is superficial at best.

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3 people found this helpful

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Jeff M.
Not the best, but it helps
Reviewed in the United States on March 21, 2019
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It has been useful to me, but it definitely could be better. The solutions are very terse and don't help you much if you're too dumb to understand.

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Chris
Good coverage of topics, but *way* too many incorrect answers
Reviewed in the United States on July 24, 2019
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First, I'll say I've only looked at the first chapter (CS fundamentals) and second chapter (prob/stats) up to this point. There are seven chapters in total.

==== PROS ====
You can use this book as a way of sampling different concepts to recognize whether you're familiar with them. Some questions essentially serve as flashcards, e.g., "What is X concept in [comp sci / stats / ML]?" This can be useful. Even if it isn't in "flashcard" format, you can treat it that way (e.g., "okay, this is asking about the binomial distribution...maybe I'll review that later").

==== CONS ====
The main issue is that *many* answers to the math-y questions are incorrect.

Here's the hit rate as I'm working through chapter 2:
2.1: This question is famously ambiguous and deceptive (there's a full Wikipedia about it being a "paradox"), so the answer key giving a one-liner for the answer without addressing its ambiguity is strange.
2.2. Fine
2.3. Fine
2.4. Incorrect...and it's also a brainteaser that isn't related to probability or stats. The question is well-known, and other information needed to solve the problem. This isn't caught because only a rough sketch of how to solve the problem is given as the solution.
2.5. Good. Well-explained.
2.6. This asks for a generalization of the previous question and is much more complex, but the answer (if it's correct) is given as a one-liner. Explanations can be found online.
2.7. So simple it doesn't seem to fit with the previous questions.
2.8. Good.
2.9. Brainteaser that has nothing to do with probability or stats.
2.10. The answer is correct, but the math getting to it is incorrect. There's a missing term on the left side of the only explanatory equation.
2.11. Incorrect. You can google the answer. (It was used as a question on a midterm exam at CMU and is also correctly solved elsewhere on the internet.)
2.12. Has missing information in the question that isn't addressed as explicitly as it should be in the answer.
2.13. Incorrect. A Bayesian stats question where some of the information needed is not given. The answer therefore doesn't make sense.

Also, the computer science question quality is inconsistent, and code answers are given in C++ instead of a more common (and less verbose) data science language. I'd definitely use "Cracking the Coding Interview" instead of this book for coding stuff---although the flashcard-y questions still might be useful.

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34 people found this helpful

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Santre Kuch
Thank you
Reviewed in the United States on September 8, 2023
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perfect service and perfect book

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Ettore Speziale
Must-have book about data science interviews
Reviewed in the United States on October 29, 2018
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The book goes through all the topics that might be covered during a data science interview. Topics ranges from basic computer science and algorithms to statistics. An ideal book for computer-science guys that want to get into the data-science business, or for math-guys that want to know about the kind of programming skills a data-scientist is required to have. Definitively recommended!

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4 people found this helpful

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Kevin Tran
many wrong answers, does not represent actual interview questions, don't waste your money!
Reviewed in the United States on December 26, 2020
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Many of the answers have errors. The book mainly goes through a lot of the questions on "what", now "why". This book is not sufficient or representative of actual data scientist interviews. Don't waste your money on this!

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2 people found this helpful

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Colin Hagemeyer
Wide variety of questions, lots of wrong answers
Reviewed in the United States on September 6, 2019
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I found this book very useful for gauging the breadth of my knowledge and finding holes. However, as many other reviewers mention, the book is full of mistakes. There are lots of grammar mistakes, but more importantly many of the answers are incorrect (conceptually wrong, not just typos/careless errors). Personally, I find it fun because I can play spot the error, but you definitely need other sources of information to actually learn topics you haven't seen before.

There are also a couple bad questions (either unclear or demonstrating the questioner doesn't really understand), but I think you'd expect that from an interview as well, so that can actually be useful in practicing how to respond.

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Nidhi
useless, waste of money
Reviewed in Canada on May 25, 2020
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not a good book, answers are in C++, some answers say explain urself

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Alex
Junior level and not worth the price
Reviewed in the United Kingdom on March 10, 2019
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The questions are very basic and not all of them come with answers. Don't expect any problems or intermediate level questions. They are almost exclusively junior level, theoretical questions: What is gradient descent, Why is Naive Bayes naive, what is softmax regression etc... I would give 2 stars for someone putting the effort to collect the information in one place, but then again the price is ridiculously high for what it offers; you get very advanced textbooks around that price.

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Heard In Data Science Interviews: Over 650 Most Commonly Asked Interview Questions & Answers

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1.0 out of 5 stars useless, waste of money

1.0 out of 5 stars Junior level and not worth the price

useless, waste of money

Junior level and not worth the price