9780711259669

30-Second Data Science The 50 Key Principles and Innovations in the Field of Data-Gathering, Each Explained in Half a Minute

by
  • ISBN13:

    9780711259669

  • ISBN10:

    0711259666

  • Format: Hardcover
  • Copyright: 2020-09-29
  • Publisher: Ivy Press

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Summary

30-Second Data Scienceis the quickest way to discover how data is a driving force not just in the big issues, such as climate change and healthcare, but in our daily lives. 
 
Data science is an entirely new discipline that encompasses a new era of information, from finding criminals to predicting epidemics. But there’s more to it than the vast quantities of information gathered by our computers, smartphones, and credit cards. 
 
Carefully compiled by experts in the field,30-Second Data Science covers the basic statistical principles that drive the algorithms, how data affects us in every way—science, society, business, pleasure—along with the ethical quandaries and its future promise of a better world.

Each 30-Second entry details a different facet of data science in just 300 words and one picture, showing how the concept of bringing together different types of data, and using powerful computer programs to find patterns no human eye could spot, is already transforming our world.
 
Exploring key ideas and featuring biographies of the people behind them, 30-Second Data Science explains clearly and concisely all you need to know about data science, from basics to ethics.

The 30 Second series presents concise, informative guides to the most important topics which shape the world around us, presenting terms which are key to understanding the subject in 30 seconds, 300 words, and one image.

Author Biography

Liberty Vittert is a Professor of the Practice of Data Science at the Olin Business School at the Washington University in St Louis. She is a regular TV and radio contributor to many news organizations, including Fox News Channel, Popular Science, Newsweek, Business Insider, MarketWatch and The Conversation. As a Royal Statistical Society Ambassador, BBC Expert Woman and an Elected Member of the International Statistical Institute, Liberty works to communicate statistics and data to the public. She is also an Associate Editor for the Harvard Data Science Review and is on the board for the UN Refugee Agency (UNHCR) as well at the HIVE, a UN Refugee Agency data initiative for refugees.

Table of Contents

Foreword
Introduction
 
Basics
GLOSSARY
Data Collection
How We Visualize Data
Learning From Data
Tools
Regression
Profile: Francis Galton
Clustering
Statistics & Modelling
Machine Learning
Neural Networks & Deep Learning
 
Uncertainty
GLOSSARY
Sampling
Correlation
Regression to the Mean
Confidence Intervals
Sampling Bias
Bias in Algorithms
Profile: George Box
Statistical Significance
Overfitting
 
Science
GLOSSARY
CERN & the Higgs Boson
Astrophysics
CRISPR & Data
The Million Genome Project
Profile: Gertrude Cox
Climate Change
Curing Cancer
Epidemiology
 
Society
GLOSSARY
Surveillance
Security
Privacy
Profile: Florence Nightingale
Vote Science
Health
IBM’s Watson & Google’s
DeepMind
 
Business
GLOSSARY
Industry 4.0
Energy Supply & Distribution
Logistics
Profile: Herman Hollerith
Marketing
Financial Modelling
New Product Development
 
Pleasure
GLOSSARY
Shopping
Dating
Music
Profile: Ada Lovelace
Sports
Social Media
Gaming
Gambling
 
The Future
GLOSSARY
Personalized Medicine
Mental Health
Smart Homes
Profile: John W. Tukey
Trustworthiness Score
Artificial Intelligence (AI)
Regulation
Ethics
 
Resources
Notes on Contributors
Index
Acknowledgements
 

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