A01=Scott E. Page
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Author_Scott E. Page
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books on big data
books on data
books on data analytics
books on statistics
Category1=Non-Fiction
Category=PBT
COP=United States
data science
Delivery_Delivery within 10-20 working days
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help with data science
help with statistics
Language_English
model thinking book
model thinking coursera
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Price_€20 to €50
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softlaunch
statistical techniques
what do markov chains mean
what is linear regression
Product details
- ISBN 9781541675711
- Weight: 410g
- Dimensions: 136 x 208mm
- Publication Date: 25 Mar 2021
- Publisher: Basic Books
- Publication City/Country: US
- Product Form: Paperback
- Language: English
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From the stock market to covid-19, census figures to marketing email blasts, we are awash with data. But as anyone who has ever opened up a spreadsheet packed with seemingly infinite lines of data knows, numbers aren't enough: we need to know how to make those numbers talk. In The Model Thinker, social scientist Scott E. Page shows us the mathematical, statistical, and computational models-from linear regression to random walks and far beyond-that can turn anyone into a genius. At the core of the book is Page's "many-model paradigm," which shows the reader how to apply multiple models to organize the data, leading to wiser choices, more accurate predictions, and more robust designs. Now culminating in an examination of how to use the multi-model approach to think about pandemics like covid-19, The Model Thinker provides a toolkit for business people, students, scientists, pollsters, and bloggers to make them better, clearer thinkers, able to leverage data and information to their advantage.
Scott E. Page is the Leonid Hurwicz Collegiate Professor of Complex Systems, Political Science, and Economics at the University of Michigan and an external faculty member of the Santa Fe Institute.
