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{Read Online} The Model Thinker: What You Need to Know to Make Data Work for

You Pdf


{Read Online} The Model Thinker: What You Need to Know to Make Data Work for You Pdf

{Read Online} The

Model Thinker: What

You Need to Know to

Make Data Work for

You Pdf

Description

Choice award for outstanding academic titleScott Page's The Model Thinker is a deeper dive

into the theory of mental models and the math behind them. Page is a professor at the University

of Michigan, and his book explores mental models in a wonderful way.―Tomasz Tunguz

'A tremendously significant book embracing a creative, innovative approach for thinking about the

complex mechanisms of social and natural phenomena'―S-T. Kim, North Carolina A&T State

University, ChoiceA hands-on reference for the working data scientist, 'The Model Thinker'

challenges us to consider that the historical methods we have used for data analysis are no longer

adequate given the complexity of today's world....What has given this book a place in my

permanent library is its deep dives into dozens of models. Equations and the diagrams are here,

but so are applications.'―Carol Wells, Inside Big Data: Your Source for Machine Learning

'This book offers a remarkably comprehensive and insightful introduction to mathematical models

in the social sciences, written by one who is a master of the field and a brilliant teacher.'―

Roger Myerson, Winner of the Nobel Memorial Prize in Economic Sciences (2007) and Glen

A. Lloyd Distinguished Service Professor of Economics at the University of Chicago

'An original and thought-provoking book, and a challenging one for a one-model thinker like

myself. Brace yourself for an entirely new perspective.'―Daron Acemoglu, professor of

economics at MIT and co-author ofWhy Nations Fail'The clarity of Scott's thinking has been

awing me since our days together as doctoral students at Kellogg. Beautifully written, this book

teaches us how to stay logical, coherent and effective at work and at life more broadly--amidst a

world awash in ever more data, distraction and complexity.'―Sally Blount, former dean of the

Kellogg School of Management at Northwestern University'With the exception of physics,

science--and particularly the social sciences--currently resides in a liminal period characterized by

hints of universal principles and the tantalizing possibility of robust prediction. In this accessible

and pragmatic book, Page persuasively shows us how in these transition periods we can use the

wisdom of crowds to improve our decision-making. The twist is that the 'crowd' is not made of

individuals but of well-chosen models each of which offers a different window on the world.'―

Jessica Flack, professor at the Santa Fe Institute and director of the Collective

Computation Group'Page explains the value of applying several models to a single problem, and

then provides a conceptual toolkit for doing so. His book is a labor of love.'―Art Friedman, coauthor

ofQuantum Mechanics Read more Scott

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