Data Scientist Pocket Guide

Data Scientist Pocket Guide

Author: Mohamed Sabri

Publisher: BPB Publications

Published: 2021-06-24

Total Pages: 418

ISBN-13: 9390684978

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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. 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


Women Rock Science

Women Rock Science

Author: Megan A. Moreno

Publisher: Springer

Published: 2019-03-25

Total Pages: 199

ISBN-13: 3030104982

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There has never been a better time to for a handbook focused on women in science. In May 2016, the American Association for the Advancement of Science posted an article titled “We need to do more for women in science.” This book describes the importance of carving out spaces for women in science and includes the unique strengths of women scientists as well as challenges they tend to face. Studies of women leadership consistently illustrate that women demonstrate strengths in leadership across communities and have skills in bringing together groups towards a common goal. The role of women in context is an important one in science, but has not been the focus of previous texts about careers in science or medicine. This first of its kind book develops an understanding of research careers occurring within a greater community of colleagues and academicians as well as the fact that women themselves lead within a group, a community, and a context. The book focuses on women who are pursuing research careers in academic medicine with specific emphasis on women in science and research as well as lessons learned from fellow female scientists. It also provides key strategies and skills centered on the social ecological model as well as a sense of community with other women scientists. The book is organized thematically using the social ecological model as a framework in which we all live and complete our work. Women Rock Science is a valuable resource that can be used in a variety of settings. It is beneficial for University classes as well as lab group meetings. It also places an emphasis on community and can be shared with one’s community of mentors, mentees and colleagues.


Pocket Guide to Diagnostic Tests

Pocket Guide to Diagnostic Tests

Author: Diana Nicoll

Publisher: McGraw-Hill/Appleton & Lange

Published: 2000

Total Pages: 0

ISBN-13: 9780838581353

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SELECT. INTERPRET. DIAGNOSE. 350+ laboratory tests, microbiology tests, plus coverage of diagnostic imaging and electrocardiology Evidence-based information Convenient tables and algorithms Key references accompany each test Diseases associated with abnormal results More than two dozen NEW clinical laboratory test entries PMID numbers for all literature references to facilitate online research


The Pocket Guide to Glaucoma

The Pocket Guide to Glaucoma

Author: Joseph Panarelli

Publisher: CRC Press

Published: 2024-06-01

Total Pages: 216

ISBN-13: 1040137164

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The Pocket Guide to Glaucoma provides essential information on glaucoma for medical students, residents, fellows, and general ophthalmologists. Drs. Joseph F. Panarelli, Davinder Grover, Arsham Sheybani, and colleagues have designed this book as the ultimate quick-read manual on glaucoma, using a conversational tone that allows readers to retain information in the most effective manner. Medical students, residents, and fellows can use this accessible, high-yield handbook during their rotations to familiarize themselves with the essentials on glaucoma, while general ophthalmologists will be glad to have it as a quick reference guide to current best practices. Each chapter in The Pocket Guide to Glaucoma is arranged in short, easy-to-read sections and is accompanied by numerous color photographs to aid in recognition and retention. Among the topics covered: Optic nerve head imaging Laser procedures for glaucoma Medical therapy for glaucoma Microinvasive glaucoma surgery Traditional glaucoma surgery: pearls and pitfalls Landmark glaucoma trials Eye care providers at all skill levels will benefit from the high-yield, quick-access information contained in The Pocket Guide to Glaucoma, whether they are preparing for their first surgeries or are longtime physicians.


A Pocket Guide to Scientific Writing in Aquaculture Research

A Pocket Guide to Scientific Writing in Aquaculture Research

Author: Rodrigue Yossa

Publisher: CRC Press

Published: 2021-11-16

Total Pages: 83

ISBN-13: 100047318X

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Writing for a high-quality scientific aquaculture publication is challenging, and many students and early career aquaculture scientists find the task daunting. Expanding on his popular workshop on Improving Scientific Writing at the 2017 World Aquaculture conference, Rodrigue Yossa provides new researchers with all the tools they need to write abstracts and a variety of articles (original, research reports, magazines, working papers, conference proceedings and more). He also takes the reader step-by-step through the process of reviewing submitted manuscripts and replying to reviewers, as well as understanding research ethics. Each section is accompanied by examples, and attention is focused on providing advice on grammar, how to focus your paper and possible loopholes when writing. A Pocket Guide to Scientific Writing in Aquaculture Research offers a lifeline to aquaculture students and early career researchers getting a grasp on the basics of science communication through writing.


The HTML Pocket Guide

The HTML Pocket Guide

Author: Bruce Hyslop

Publisher: Pearson Education

Published: 2010-05-27

Total Pages: 359

ISBN-13: 0321703510

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This handy low-priced book is packed with HTML/XHTML definitions and tips, including those for HTML5 elements in depth. Snappy writing and illustrative code samples walk readers through HTML uses and element definitions. Handy pocket size provides a convenient reference for HTML coders. A true companion to standards-compliant design. The HTML Pocket Guide is for both beginning users, who want an introduction to HTML, and more advanced users, who are looking for a convenient reference. While HTML5 is still under development, browser manufacturers are already supporting many of its features in Google Chrome, Firefox, Opera, Safari, and the upcoming Internet Explorer 9. So, now is the time to start learning about it. The HTML Pocket Guide is a valuable companion to creating standards-compliant markup that will help Web designers and developers quickly define content and meaning. Accessible, convenient, and inexpensive, this pocket guide is exactly what web designers and developers need.


RN Pocket Guide

RN Pocket Guide

Author: Paula Derr

Publisher: Jones & Bartlett Publishers

Published: 2013-12-06

Total Pages: 225

ISBN-13: 1284025330

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Designed for both beginning and experienced nurses, RN Pocket Guide, Third Edition is the ideal quick reference. With easy to use color coded tabs, it offers instant access to a comprehensive library of information in a convenient 3"x 5" pocket-size format. The new edition includes a new pediatric tab, updated CPR guidelines, and an updated drug list.


Natural Therapeutics Pocket Guide

Natural Therapeutics Pocket Guide

Author: James B. Lavalle

Publisher:

Published: 2003

Total Pages: 0

ISBN-13: 9781930598997

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A resource guide for healthcare professionals counseling patients about the appropriate use of natural products and therapies. A quick reference, this edition contains an additional 200 references, over 175 monographs, and information on over 75 conditions. Intended to help improve health, not present cures, this guide is a first step for suggesting natural therapeutics as part of health management.


R Data Science Quick Reference

R Data Science Quick Reference

Author: Thomas Mailund

Publisher: Apress

Published: 2019-08-07

Total Pages: 246

ISBN-13: 1484248945

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In this handy, practical book you will cover each concept concisely, with many illustrative examples. You'll be introduced to several R data science packages, with examples of how to use each of them. In this book, you’ll learn about the following APIs and packages that deal specifically with data science applications: readr, dibble, forecasts, lubridate, stringr, tidyr, magnittr, dplyr, purrr, ggplot2, modelr, and more. After using this handy quick reference guide, you'll have the code, APIs, and insights to write data science-based applications in the R programming language. You'll also be able to carry out data analysis. What You Will LearnImport data with readrWork with categories using forcats, time and dates with lubridate, and strings with stringrFormat data using tidyr and then transform that data using magrittr and dplyrWrite functions with R for data science, data mining, and analytics-based applicationsVisualize data with ggplot2 and fit data to models using modelr Who This Book Is For Programmers new to R's data science, data mining, and analytics packages. Some prior coding experience with R in general is recommended.