Machine Learning Interview Questions
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Machine Learning
Interview Questions
About this ebook
Machine Learning Interview Questions & Answers
Machine Learning is a newly emerging term in IT field, which is a subset of Artificial Intelligence. Machine learning focuses on the development of computer programs that can access data and use it learn for themselves. It can help to detect fraudulent transactions, online recommendation, sentiments of social media content. It can even help out to decide which is the best place to open up a restaurant, hotel etc.
This workbook contains extensive set of Machine Learning questions and answers that can help clear your understanding on the topic and also help in responding to questions posed to an interviewee. With the difficulty level of questions ranging from low to high, we intend to cater to the requirements of masses.
This guide will benefit:
• A beginner who has never faced any Machine Learning / Data Science interview
• Anyone who wants a brief on Machine Learning
• Professional who want answers with examples and explanation
• One who don't know what "They" really want to hear….
How should you read this book?
You have to first do a slow reading of all the questions in this book. Once you go through them in the first pass, mark the questions that you could not answer by yourself. Then, in second pass go through only the difficult questions. After going through this book 2-3 times, you will be well prepared to face a technical interview for a Machine Learning position.
What are the sample questions in this book?
1) List of assumptions in linear regression?
2) What is normal distribution? Why do we care about it?
3) How do we verify if a feature follows the normal distribution or not?
4) What is SGD (Stochastic Gradient Descent? How is it different from gradient descent?
5) What all metrics do we use for evaluating regression models?
6) Share some examples where a false positive is important than a false negative?
7) What is Precision-recall trade-off?
8) Can we use L1 regularization for feature selection?
9) What happens when we have correlated features in our data?
10) How we can incorporate implicit feedback (clicks etc.) into recommender systems?
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Machine Learning Interview Questions - Tech Interviews
Machine Learning Interview Questions and Answers
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Preface
This workbook contains extensive set of Machine Learning / Data Science questions and answers that can help clear your understanding on the topic and also help in responding to questions posed to an interviewee. With the difficulty level of questions ranging from low to high, we intend to cater to the requirements of masses.
We've identified that in today's competitive careers job market, it is essential that one should structure his/her responses in line with the questions asked. This guide exactly helps you in this area. It will show you how to do this to great effect.
The motto behind writing this book is to provide the readers a crisp yet extensive and complete set of questions asked in interviews. I’ve provided clear explanation with question and answers to make concepts clear.
After going through this book, you will have clarity on the basics, structure and usage of Machine Learning Algos. Also, you’ll be competitive enough to crack most of the interviews.
This book is not only for Machine Learning Practitioner but also for those who are interested in some brief of Machine Learning. We understand the need of good and quick technology knowledge for our jobs and also for interviews. I hope you will like this book which will inspire us to publish more helpful books for you.
Who Needs This Book?
This guide will benefit:
A beginner who has never faced any Machine Learning / Data Science interview
Anyone who wants a brief on Machine Learning / Data Science
Professional who want answers with examples and explanation
One who don’t know what They
really want to hear….