Data Scientist Pocket Guide

Data Scientist Pocket Guide
Author :
Publisher : BPB Publications
Total Pages : 418
Release :
ISBN-10 : 9789390684977
ISBN-13 : 9390684978
Rating : 4/5 (978 Downloads)

Book Synopsis Data Scientist Pocket Guide by : Mohamed Sabri

Download or read book Data Scientist Pocket Guide written by Mohamed Sabri and published by BPB Publications. This book was released on 2021-06-24 with total page 418 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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


Data Scientist Pocket Guide Related Books

Data Scientist Pocket Guide
Language: en
Pages: 418
Authors: Mohamed Sabri
Categories: Computers
Type: BOOK - Published: 2021-06-24 - Publisher: BPB Publications

DOWNLOAD EBOOK

Discover one of the most complete dictionaries in data science. KEY FEATURES ● Simplified understanding of complex concepts, terms, terminologies, and techniq
R for Data Science
Language: en
Pages: 521
Authors: Hadley Wickham
Categories: Computers
Type: BOOK - Published: 2016-12-12 - Publisher: "O'Reilly Media, Inc."

DOWNLOAD EBOOK

Learn how to use R to turn raw data into insight, knowledge, and understanding. This book introduces you to R, RStudio, and the tidyverse, a collection of R pac
SQL for Data Scientists
Language: en
Pages: 400
Authors: Renee M. P. Teate
Categories: Computers
Type: BOOK - Published: 2021-08-17 - Publisher: John Wiley & Sons

DOWNLOAD EBOOK

Jump-start your career as a data scientist—learn to develop datasets for exploration, analysis, and machine learning SQL for Data Scientists: A Beginner's Gui
Data Scientists at Work
Language: en
Pages: 348
Authors: Sebastian Gutierrez
Categories: Computers
Type: BOOK - Published: 2014-12-12 - Publisher: Apress

DOWNLOAD EBOOK

Data Scientists at Work is a collection of interviews with sixteen of the world's most influential and innovative data scientists from across the spectrum of th
Python and R for the Modern Data Scientist
Language: en
Pages: 199
Authors: Rick J. Scavetta
Categories: Computers
Type: BOOK - Published: 2021-06-22 - Publisher: "O'Reilly Media, Inc."

DOWNLOAD EBOOK

Success in data science depends on the flexible and appropriate use of tools. That includes Python and R, two of the foundational programming languages in the f