The Model Thinker

2018-11-27
The Model Thinker

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  • Author: Scott E. Page
  • Publisher: Hachette UK
  • ISBN: 0465094635
  • Category : Computers
  • Languages : en
  • Pages : 585

Work with data like a pro using this guide that breaks down how to organize, apply, and most importantly, understand what you are analyzing in order to become a true data ninja. From the stock market to genomics laboratories, 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. 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.

Summary of Scott E. Page's The Model Thinker

2022-03-27T22:59:00Z
Summary of Scott E. Page's The Model Thinker

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  • Author: Everest Media,
  • Publisher: Everest Media LLC
  • ISBN: 1669369293
  • Category : Computers
  • Languages : en
  • Pages : 95

Please note: This is a companion version & not the original book. Sample Book Insights: #1 Models are formal structures represented in mathematics and diagrams that help us understand the world. They improve our ability to reason, explain, design, communicate, act, predict, and explore. #2 A model is a simplification of the world that can be applied within it. It must be simple enough that within it we can apply logic. A model is a collection of models that accomplishes even more. #3 We have access to unprecedented amounts of data, but we are not capable of understanding why certain things happen. Empirical findings may be misleading. Data on piece-rate work shows that the more people are paid per unit of output, the less they produce. #4 Models are used to make sense of the firehose-like streams of data that cross our computer screens. Without models, people suffer from a laundry list of cognitive shortcomings: we overweight recent events, we assign probabilities based on reasonableness, and we ignore base rates.

Summary of the Model Thinker: What You Need to Know to Make Data Work for You by Scott E. Page

2021-07-22
Summary of the Model Thinker: What You Need to Know to Make Data Work for You by Scott E. Page

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  • Author: BestPrint
  • Publisher:
  • ISBN:
  • Category :
  • Languages : en
  • Pages : 31

The Model Thinker (2018) is a guide to using models to make data talk. In a world inundated with information, it sheds some much-needed light on the patterns underlying the noise - and points us toward the ways we can reveal those patterns for ourselves

AI-ML for Decision and Risk Analysis

2023-07-05
AI-ML for Decision and Risk Analysis

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  • Author: Louis Anthony Cox Jr.
  • Publisher: Springer Nature
  • ISBN: 3031320131
  • Category : Business & Economics
  • Languages : en
  • Pages : 443

This book explains and illustrates recent developments and advances in decision-making and risk analysis. It demonstrates how artificial intelligence (AI) and machine learning (ML) have not only benefitted from classical decision analysis concepts such as expected utility maximization but have also contributed to making normative decision theory more useful by forcing it to confront realistic complexities. These include skill acquisition, uncertain and time-consuming implementation of intended actions, open-world uncertainties about what might happen next and what consequences actions can have, and learning to cope effectively with uncertain and changing environments. The result is a more robust and implementable technology for AI/ML-assisted decision-making. The book is intended to inform a wide audience in related applied areas and to provide a fun and stimulating resource for students, researchers, and academics in data science and AI-ML, decision analysis, and other closely linked academic fields. It will also appeal to managers, analysts, decision-makers, and policymakers in financial, health and safety, environmental, business, engineering, and security risk management.

The Software Architect Elevator

2020-04-08
The Software Architect Elevator

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  • Author: Gregor Hohpe
  • Publisher: O'Reilly Media
  • ISBN: 1492077518
  • Category : Computers
  • Languages : en
  • Pages : 367

As the digital economy changes the rules of the game for enterprises, the role of software and IT architects is also transforming. Rather than focus on technical decisions alone, architects and senior technologists need to combine organizational and technical knowledge to effect change in their company’s structure and processes. To accomplish that, they need to connect the IT engine room to the penthouse, where the business strategy is defined. In this guide, author Gregor Hohpe shares real-world advice and hard-learned lessons from actual IT transformations. His anecdotes help architects, senior developers, and other IT professionals prepare for a more complex but rewarding role in the enterprise. This book is ideal for: Software architects and senior developers looking to shape the company’s technology direction or assist in an organizational transformation Enterprise architects and senior technologists searching for practical advice on how to navigate technical and organizational topics CTOs and senior technical architects who are devising an IT strategy that impacts the way the organization works IT managers who want to learn what’s worked and what hasn’t in large-scale transformation

Birth of Modern Facts

2023-01-15
Birth of Modern Facts

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  • Author: James W Cortada
  • Publisher: Rowman & Littlefield
  • ISBN: 1538173913
  • Category :
  • Languages : en
  • Pages : 462

James W. Cortada is Senior Research Fellow at the Charles Babbage Institute at the University of Minnesota Twin Cities. He formerly worked at IBM Corporation in a variety of sales, consulting, research, management, and executive positions. His research and writing have focused on the business history of information technology and in the role of information in modern societies. He is the author or editor of more than three dozen books and serves on the editorial board of key journals devoted to the history of information and its technologies. Most recently he co-authored with William Aspray, Fake News Nation: The Long History of Lies and Misinterpretations in America (R&L, 2019) and From Urban Legends to Political Fact-Checking (Springer, 2019); and authored Building Blocks of Society: History, Information Ecosystems, and Infrastructures (R&L, 2021).

Public Epistemic Authority

2022-06-29
Public Epistemic Authority

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  • Author: Johann Moritz Laux
  • Publisher: Mohr Siebeck
  • ISBN: 316160069X
  • Category : Law
  • Languages : en
  • Pages : 484

Inter- and supranational courts derive their legitimacy partly from an institutional comparison: judges' legal expertise and the quality of judicial procedures justify a court's claim to authority towards other branches of government and other courts with overlapping jurisdiction. To provide a benchmark for assessing judicial outcomes that is compatible with democratic commitments, Johann Laux suggests a new normative category, Public Epistemic Authority (PEA). It builds on the mechanisms behind theories of collective intelligence and empirical research on judicial decision-making. PEA tracks judges' collective ability to reliably identify breaches of law. It focuses on cognitive tasks in adjudication. The author applies PEA to the Court of Justice of the European Union and offers suggestions for improving its institutional design.

ECCWS 2019 18th European Conference on Cyber Warfare and Security

2019-07-04
ECCWS 2019 18th European Conference on Cyber Warfare and Security

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  • Author: Tiago Cruz
  • Publisher: Academic Conferences and publishing limited
  • ISBN: 1912764296
  • Category : Computers
  • Languages : en
  • Pages :

Analytical Skills for AI and Data Science

2020-05-21
Analytical Skills for AI and Data Science

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  • Author: Daniel Vaughan
  • Publisher: "O'Reilly Media, Inc."
  • ISBN: 1492060895
  • Category : Computers
  • Languages : en
  • Pages : 300

While several market-leading companies have successfully transformed their business models by following data- and AI-driven paths, the vast majority have yet to reap the benefits. How can your business and analytics units gain a competitive advantage by capturing the full potential of this predictive revolution? This practical guide presents a battle-tested end-to-end method to help you translate business decisions into tractable prescriptive solutions using data and AI as fundamental inputs. Author Daniel Vaughan shows data scientists, analytics practitioners, and others interested in using AI to transform their businesses not only how to ask the right questions but also how to generate value using modern AI technologies and decision-making principles. You’ll explore several use cases common to many enterprises, complete with examples you can apply when working to solve your own issues. Break business decisions into stages that can be tackled using different skills from the analytical toolbox Identify and embrace uncertainty in decision making and protect against common human biases Customize optimal decisions to different customers using predictive and prescriptive methods and technologies Ask business questions that create high value through AI- and data-driven technologies

Atlas of Forecasts

2021-08-31
Atlas of Forecasts

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  • Author: Katy Borner
  • Publisher: MIT Press
  • ISBN: 0262045958
  • Category : Science
  • Languages : en
  • Pages : 227

Forecasting the future with advanced data models and visualizations. To envision and create the futures we want, society needs an appropriate understanding of the likely impact of alternative actions. Data models and visualizations offer a way to understand and intelligently manage complex, interlinked systems in science and technology, education, and policymaking. Atlas of Forecasts, from the creator of Atlas of Science and Atlas of Knowledge, shows how we can use data to predict, communicate, and ultimately attain desirable futures. Using advanced data visualizations to introduce different types of computational models, Atlas of Forecasts demonstrates how models can inform effective decision-making in education, science, technology, and policymaking. The models and maps presented aim to help anyone understand key processes and outcomes of complex systems dynamics, including which human skills are needed in an artificial intelligence-empowered economy; what progress in science and technology is likely to be made; and how policymakers can future-proof regions or nations. This Atlas offers a driver's seat-perspective for a test-drive of the future.