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

Description

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. Description This 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 for This 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 Contents 1. Chapter one: A 2. Chapter two: B 3. Chapter three: C 4. Chapter four: D 5. Chapter five: E 6. Chapter six: F 7. Chapter seven: G 8. Chapter eight: H 9. Chapter nine: I 10. Chapter ten: J 11. Chapter 11: K 12. Chapter 12: L 13. Chapter 13: M 14. Chapter 14: N 15. Chapter 15: O 16. Chapter 16: P 17. Chapter 17: Q 18. Chapter 18: R 19. Chapter 19 : S 20. Chapter 20 : T 21. Chapter 21 : U 22. Chapter 22 : V 23. Chapter 23: W 24. Chapter 24: X 25. Chapter 25: Y 26. Chapter 26 : Z About the Authors Mohamed 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/