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{epub download} The Model Thinker: What You Need to Know to Make Data Work for
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{epub download} The Model Thinker: What You Need to Know to Make Data Work for You Download and
Read online
{epub download} The
Model Thinker: What
You Need to Know to
Make Data Work for
You Download and
Read online
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, co-author of
Quantum Mechanics Read more 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. Read more