30-Second Data Science (eBook)

Liberty Vittert (Autor)

eBook Download: EPUB

2020
160 Seiten
Ivy Press (Verlag)
978-0-7112-6195-2 (ISBN)

Infos

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 wayscience, society, business, pleasurealong 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 in30 seconds, 300 words, and one image.

Produkt-Details

• Erscheint lt. Verlag: 29.9.2020
• Reihe/Serie: 30 Second
• Reihe/Serie: 30-Second
• Sprache: englisch
• Themenwelt: Mathematik / Informatik ► Informatik ► Datenbanken
• Themenwelt: Informatik ► Software Entwicklung ► User Interfaces (HCI)
• Themenwelt: Mathematik / Informatik ► Informatik ► Web / Internet
• Schlagworte: 30 second • Ada Lovelace • Artificial Intelligence AI • astrophysics • Basics • Beginners • Bias in Algorithms • Big Data • business • CERN & the Higgs Boson • climate change • Clustering • Coding • confidence intervals • Correlation • CRISPR & Data • curing cancer • Data • Data Analysis • data collection • data for beginners • Data Science • Dating • DeepMind • easy data • Economics • Energy Supply & Distribution • epidemiology • ethics • Financial Modelling • Florence Nightingale • Gambling • Gaming • George Box • Gertrude Cox • Gift • Google’s • Guide • Health • Herman Hollerith • How We Visualize Data • IBM’s • Industry 4.0 • John W. Tukey • Learning from Data • liberty vittert • logistics • Lover • machine learning • Marketing • Maths • Mental Health • music • Neural Networks & Deep Learning • New Product Development • Numbers • overfitting • Personalized medicine • present • privacy • Profile: Francis Galton • Regression • regression to the mean • Regulation • Sampling • sampling bias • security • Shopping • smart homes • Social Media • Sports • statistical significance • Statistics • Statistics & Modelling • Student • Surveillance • The Million Genome Project • Tools • Trustworthiness Score • Uncertainty • understand data • Vote Science • Watson • what is data
• ISBN-10: 0-7112-6195-4 / 0711261954
• ISBN-13: 978-0-7112-6195-2 / 9780711261952