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Mohamed Sabri - Data Scientist Pocket Guide: Over 600 Concepts, Terminologies, and Processes of Machine Learning and Deep Learning Assembled Together (English Edition)

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Data Scientist Pocket Guide: Over 600 Concepts, Terminologies, and Processes of Machine Learning and Deep Learning Assembled Together (English Edition)
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Mohamed Sabri
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BPB Publications
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2021
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Discover one of the most complete dictionaries in data science.

Key Features Simplified understanding of complex concepts, terms, terminologies, and techniques. Combined glossary of machine learning, mathematics, and statistics. Chronologically arranged A-Z keywords with brief description.DescriptionThis pocket guide is a must for all data professionals in their day-to-day work processes. This book brings a comprehensive pack of glossaries of machine learning, deep learning, mathematics, and statistics. The extensive list of glossaries comprises concepts, processes, algorithms, data structures, techniques, and many more. Each of these terms is explained in the simplest words possible. This pocket guide will help you to stay up to date of the most essential terms and references used in the process of data analysis and machine learning.What you will learn Get absolute clarity on every concept, process, and algorithm used in the process of data science operations. Keep yourself technically strong and sound-minded during data science meetings. Strengthen your knowledge in the field of Big data and business intelligence.Who this book is forThis book is for data professionals, data scientists, students, or those who are new to the field who wish to stay on top of industry jargon and terminologies used in the field of data science.Table of Contents1. Chapter one: A2. Chapter two: B3. Chapter three: C4. Chapter four: D5. Chapter five: E6. Chapter six: F7. Chapter seven: G8. Chapter eight: H9. Chapter nine: I10. Chapter ten: J11. Chapter 11: K12. Chapter 12: L13. Chapter 13: M14. Chapter 14: N15. Chapter 15: O16. Chapter 16: P17. Chapter 17: Q18. Chapter 18: R19. Chapter 19 : S20. Chapter 20 : T21. Chapter 21 : U22. Chapter 22 : V23. Chapter 23: W24. Chapter 24: X25. Chapter 25: Y26. Chapter 26 : ZAbout the AuthorsMohamed Sabri, the author of this book, completed his graduation in Mathematics and Economics from the University of Ottawa. He is a Consultant in the field of Data Science and MLOps, and is working with the North American organizations in the Banking, Retail, and Gaming sector. With an irrefutable passion for Data Science, he is driven to do more for the domain by being involved in a range of innovative AI projects that help him deliver end-to-end solutions in the field of AI.He drives his professional journey with his excellent communication skills and his expertise in Tech popularisation for complex projects. Building upon his commitment towards ensuring work and team cohesiveness, he has successfully executed several AI projects.In his book, Data Scientist Pocket Guide, he has interestingly poured his secrets of becoming a benevolent data scientist.His secret passion for connecting and networking with people and professionals is channelled through this book, that attempts to connect and reach several data scientists and make their everyday job enriching and easier.Blog links: https://www.datalyticsbusiness.ca/LinkedIn Profile: https://www.linkedin.com/in/mohamed-sabri/

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Data Scientist

Pocket Guide

Over Concepts, Terminologies, and

Processes of Machine Learning and

Deep Learning Assembled Together

Mohamed Sabri

www.bpbonline.com

FIRST EDITION 2021

ISBN: 978-93-90684-97-7

All Rights Reserved. No part of this publication may be reproduced, distributed or transmitted in any form or by any means or stored in a database or retrieval system, without the prior written permission of the publisher with the exception to the program listings which may be entered, stored and executed in a computer system, but they can not be reproduced by the means of publication, photocopy, recording, or by any electronic and mechanical means.

LIMITS OF LIABILITY AND DISCLAIMER OF WARRANTY

The information contained in this book is true to correct and the best of authors and publishers knowledge. The author has made every effort to ensure the accuracy of these publications, but publisher cannot be held responsible for any loss or damage arising from any information in this book.

All trademarks referred to in the book are acknowledged as properties of their respective owners but BPB Publications cannot guarantee the accuracy of this information.

Distributors:

BPB PUBLICATIONS

20, Ansari Road, Darya Ganj

New Delhi-110002

Ph: 23254990/23254991

MICRO MEDIA

Shop No. 5, Mahendra Chambers,

DN Rd. Next to Capital Cinema,

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Ph: 22078296/22078297

DECCAN AGENCIES

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Ph: 24756967/24756400

BPB BOOK CENTRE

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Delhi-110006

Ph: 23861747

Published by Manish Jain for BPB Publications Ansari Road Darya Ganj New - photo 5

Published by Manish Jain for BPB Publications, Ansari Road, Darya Ganj, New Delhi-110002 and Printed by him at Repro India Ltd, Mumbai

www.bpbonline.com

Dedicated to

My father and our Sundays

About the Author

Mohamed the author of this book, completed his graduation in Mathematics and Economics from the University of Ottawa. He is a Managing Partner and Consultant in the field of Data Science and MLOps, and is working with the North American organizations in the Banking, Retail, and Gaming sector. With an irrefutable passion for Data Science, he is driven to do more for the domain by being involved in a range of innovative AI projects that help him deliver end-to-end solutions in the field of AI.

He drives his professional journey with his excellent communication skills and his expertise in Tech popularisation for complex projects. Building upon his commitment towards ensuring work and team cohesiveness, he has successfully executed several AI projects.

In his book, Data Scientist Pocket Guide, he has interestingly poured his secrets of becoming a benevolent data scientist.

His secret passion for connecting and networking with people and professionals is channelled through this book, that attempts to connect and reach several data scientists and make their everyday job enriching and easier.

About the Reviewer

Prateek Gupta is a Data Enthusiast and loves data-driven technologies. Prateek has done his B.Tech in Computer Science & Engineering and currently working as a Data Scientist in an IT company. Prateek has a total of years of experience in the software industry, and currently, he is working in the Computer Vision area. Prateek is also author of the book Practical Data Science with Jupyter nd Edition published by the BPB Publications.

Acknowledgements

The completion of this book could not have been possible without the support of BPB Publications. I would like to thank all the team members of BPB Publications; despite the COVID crisis, they extended their full support with access to all the resources that were critical in completing this book. I would like to thank my family for their support and encouragement while writing this book, with a special mention to my parents for being an incredible source of inspiration in my life. A huge thanks to my father for teaching me how to be patient and resilient in life. Lastly, I would like to underline the importance of patience in writing a book or facing any challenge in life.

Preface

At the beginning of my career as a data scientist, I use to go on search engines and use various sources to find explanations about a concept in data science. This was time consuming and the answers to my questions where not always reliable. It is hard for any data scientist to find quickly all the answers to his questions and sometimes answers vary from a source to another. Also, some concepts are hard to understand so you have to find a source that explains clearly what a concept means. This book is a first of a kind dictionary or glossary that regroups the most popular terms in data science. It helps data scientist from beginners to senior to look for definitions very quickly and have reliable answers to their questions. Usually books in data science focuses on coding and on practical use cases, whereas this book goal is to explain concepts and give a better idea to data scientist about what the words means. Its good to be able to code in data science and build machine learning models but if the data scientist doesnt understand the logic and the mechanism behind each concept it is hard for him to provide good results and explain its work. I hope you will keep this book as your Bible for data science and use it each time you have doubt about a concepts meaning. Have fun!

This book is separated into two sections. The first section is composed of chapters, each chapter correspond to a letter in the alphabet and a set of definitions in each chapter. The second section is an FAQ or frequently asked questions and it contains all the questions that a data scientist might have when it comes to data science, the questions covers some theorical parts and others are more practical such as should I learn R or Python?.

This book objective is not be read all at once but to become your data science Bible, so each time you might have a question about a concept and wondering how it works or what does it mean you might look at the book for answers. Also, this book is a good support for beginners that are always confused around all the concepts that they might find in data science. So, the lecture of this book is not linear you might start to read wherever you want and jump to any chapter based on the answers you are looking for. This book is a first of a kind in data science as no other book regroup as much terms in the field as this book does.

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