Amazon.ca:Customer reviews: Cracking The Machine Learning Interview

Reviewed in Canada 🇨🇦 on January 11, 2020

Overall, this is a nice book. It is a good refresh for the ML topic. Think of it as a nice ML review. Don't over expect from the book to really prepare you for interviews, though some of its questions appear in interviews.

Helpful

Ann

Pretty raw opinionated material

Reviewed in the United States 🇺🇸 on August 24, 2022

Verified Purchase

We are in a need of complete thoughtful book about ML interview with expanded answers to most popular questions so beginner may get an idea what is expected from them. This one is not that book. It's more like personal blog where person knows how to explain something, but not necessarily want to spend time on this explanation.

One person found this helpful

Claudio Catuzzi

Precision and synthesys of a complex world.

Reviewed in Italy 🇮🇹 on February 10, 2022

Verified Purchase

Precise and concise.
Great help to structure the world of machine learning and in general of AI.
The only improvement I could envisage would be in the statistics area. But yhe top score is eRned anyway.

Amazon Customer

Must Buy !!

Reviewed in India 🇮🇳 on April 9, 2019

Verified Purchase

This short book is a wealth of information for people interested in Machine Learning. I highly recommend reading this book even if you don't plan to interview! You will definitely learn some new skills and understand the fundamentals of Machine Learning algorithms, how they work, and how to measure their performance. I am sure a lot of us can easily relate to specific questions discussed in the book being asked in the interviews. A must read book!

6 people found this helpful

Shashank Dixena

Below average content, Not worth it

Reviewed in India 🇮🇳 on November 13, 2021

Verified Purchase

I would recommend sticking to the standard textbooks like IOSL/EOSL, DL by Goodfellow, ML & PR by Bishop, etc.
This book is just a bunch of some elementary questions, doesn't even dive that deep.
These type questions you can find in any common blog like towards-ds or analytics-vidhya.
These days people just copy-paste, aggregate and call themselves writer.
Pathetic.
Moreover, it borrows the name from Gayle Laakmaan's CTCI, which is next level brilliancy.
This book doesn't even come close to justify such a name.

One person found this helpful

Nikhil R.

Really one of the good resources around to prepare for a ML interview.

Reviewed in India 🇮🇳 on December 31, 2018

Verified Purchase

This book is really a good source for preparing for ML interviews. The resources are available online, but as most of us know, the solutions cannot be hold credible. On the other hand, this books really has some good set of problems which not only helps in increasing your corporate competency but also understanding the concepts around it. Really a good recommendation, for ML enthusiasts.

4 people found this helpful

Utkarsh P.

Great book

Reviewed in India 🇮🇳 on June 7, 2021

Verified Purchase

This book helped me crack several interviews, it covers most of the fundamentals.

Michael L.

misleading and not helpful

Reviewed in the United States 🇺🇸 on March 20, 2019

Verified Purchase

The title of the book implies that the content will get something similar to "Cracking the Coding Interview," which goes into algorithms and data structures in detail and provides exercises with code solutions.

This book, however, is a series of a high-level questions / answers that in my experience are useless during an actual ML interview. For example, one of the questions is "Define entropy". No one will ever ask you to define entropy. Instead, an interviewer will ask you to write, in full code (not pseudocode), an algorithm for classifying samples from some dataset with some interesting constraint that makes the problem non-trivial.

To make this useful, you need to provide interesting real-world interview problems with strategies and solutions implemented in real code, not a series of high level Q&A pairs that no one asks in practice. If you were preparing for a normal CS interview, you would never get asked "Define sorting" - you would get a concrete task e.g. implement quicksort. Moreover, you would likely be asked a sorting question where the answer (e.g. use quicksort) is not obvious and requires thinking.

The internet is filled with unhelpful resources for ML. Now there's another one.

46 people found this helpful

PAME Kévin

Amazing ML book

Reviewed in France 🇫🇷 on April 11, 2019

Verified Purchase

This book is amazing for those who are new to Machine Learning but also for those who have started to dig into it a little bit deeper! Perfect to learn and find out about new methods and deliver the right answers to interviews with confidence.

Aakash

Very helpful for machine learning interview preparation

Reviewed in India 🇮🇳 on January 29, 2019

Verified Purchase

Really loved the content of book, very precise and easy to understand.
Some questions asked in some of my personal interviews were actually very similar to the ones in the book. This book is definitely a gem and must have for everyone interested in cracking ML interviews

4 people found this helpful

5 star		52%
4 star		27%
3 star		10%
2 star		2%
1 star		8%

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