Machine Learning Interview Guide

This book prepares you with the knowledge and skills to confidently excel in the exciting world of machine learning (ML) interviews and launch a successful career in this dynamic field.

This book offers a collection of curated questions and answers to help readers understand key ML concepts, including data processing, classification, regression, clustering, dimensionality reduction, time series, and natural language processing (NLP). While not exhaustive, it focuses on critical topics and common questions often encountered in interviews. The chapters highlight essential concepts without a strict order of importance, reflecting the informal nature of ML interviews. Alongside theoretical knowledge, the book emphasizes the importance of coding and real-world application for a deeper understanding. Practical exercises, coding projects, and continuous learning are crucial to mastering ML concepts.

By mastering the concepts and question-answer formats presented in this book, you will be well-prepared to tackle technical interview challenges and confidently showcase your ML expertise. This guide will help you achieve your career goals in the exciting field of ML.

KEY FEATURES

* Major topics and concepts covered in a question-answer format.
* One can gain expertise in how to present an answer during an ML interview.
* Helps to structure the interview process and make it streamlined as per the industry.

WHAT YOU WILL LEARN

* Understand core data concepts for ML.
* Master classification and regression algorithms.
* Learn clustering and dimensionality reduction techniques.
* Analyze and forecast time-dependent data with time series analysis.
* Gain NLP proficiency and understand human language with techniques like tokenization, stemming, lemmatization, and advanced language models.

WHO THIS BOOK IS FOR

This book can be used by an interviewee, interviewer, ML professionals who want to learn the interview structure, and ML practitioners who want to refresh their memory and use this book as a reference guide. Managerial and non-technical people can use this book to learn ML in unique ways through a question-answer format.

1. Data Processing for Machine Learning
2. Classification
3. Regression
4. Clustering and Dimensionality Reduction
5. Time Series
6. Natural Language Processing

Rehan Guha is a versatile individual who balances his roles as a researcher, scholar-lecturer, writer, and social analyst/commentator. Serving his initial days as a coder and developer, Rehan is now inclined towards Machine Learning and Algorithms. Aptly, his primary focus areas include General Science, Technology, Philosophy and Socio-economics. He holds a graduate degree from ‘The Institute of Engineering & Management, Kolkata’ and a Postgraduate certification in Deep Learning from the Indian Institute of Technology, Kharagpur (IIT-K, AICTE-approved course).

Rehan's research interests include Optimization Problems, Explainable AI, Deep Learning Architecture, Machine Learning, and Algorithmic Thinking. He has written and published several articles in scholarly and open sources and possesses several patents, of which one is dedicated to the Indian Army. In his eight years of experience in Information Technology, he has had exposure across different business units, including Banking, Medicine, Law, Insurance, Freight and Logistics, and Telecom, notably securing a patent for a solution addressing Dispute Banking and Credit Risk.

Currently, Rehan has penned down a book, namely “Machine Learning Cookbook with Python”, published by BPB Publications. He has published several papers, filed multiple patents, and competitively contributed to events such as SoilScope under NSF funding and with NASA sponsorship. He is an educator, has delivered workshops and seminars at different universities, has published his knowledge, and has engaged with Open Source Software contributions, such as Google TensorFlow Addons.

Other than work, Rehan is a strong believer in Open/Free Knowledge and is directly involved in the UN World Food Program(WFP) and Educational Equality. He is an active educator and personal development coach for the needy. Rehan is also a photography enthusiast who likes to shoot and reinvent himself through the medium of photography, and also occasionally enjoys his initial passion – drawing with a pencil and ink. The sketch of his wood engraving, done under the ‘Rivers of the World’ scheme, is preserved in the British Council Museum, London, and has traveled in Europe and Asia as an exhibition item. Rehan, in his personal life, when not working, plays non-professional Table Tennis and Football and enjoys traveling, where he gets to embrace different cultures and cuisines.