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Torkia

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Decision Superhero Book 1: Driving Informed Decision-Making with Probability, Explainable Models, and Decision Science
$ 1898
Decision Superhero Book 1: Driving Informed Decision-Making with Probability, Explainable Models, and Decision Science
作者:Torkia 
出版社:Technics Publications
出版日期:2024-11-18
語言:英文   規格:平裝 / 344頁 / 22.86 x 15.24 x 1.83 cm / 普通級/ 初版
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圖書名稱:Decision Superhero Book 1: Driving Informed Decision-Making with Probability, Explainable Models, and Decision Science

內容簡介

Decision Superhero is a modern practical guide to making better decisions using probability. Understand essential psychological and mathematical models for effective decision-making, implement decision science models in Excel, and build an organization that tests assumptions, discerns variables, and predicts outcomes using decision models.

Eric Torkia and Bill Klimack have masterfully distilled decades of experience into a guide that is both accessible and profoundly insightful. This book is not just a manu-al for analysts but a blueprint for anyone looking to navigate the complex landscape of modern decision-making.

In a world where data is king, "Decision Superhero" empowers its readers to become the architects of their own destiny, leveraging the principles of decision science to drive impactful outcomes. Whether you’re a seasoned professional or just starting your journey, this book will equip you with the tools and mindset needed to make better, faster, and more informed decisions.

With its blend of theory, practical application, and real-world examples, "Decision Superhero" stands out as an essential read for anyone looking to elevate their deci-sion-making prowess. Eric and Bill have created a resource that is sure to become a staple on the bookshelf of every data-driven leader. This is the book that will turn good analysts into great decision-makers.

Jordan Goldmeier, Author of Becoming a Data Head and Data Smart

Decision Superhero is a compelling guide to mastering decision science, crafted with clarity and depth. This book invites readers to explore the art and science of making better choices, blending real-world exam-ples, historical anecdotes, and practical insights to create a rich learning experience. From operations research during WWII to contemporary decision analysis, the authors present a cohesive narrative that demonstrates the evolution of this criti-cal field. The early chapters offer fascinating stories of decision-making challenges, such as Abraham Wald’s work on survivorship bias, grounding readers in the time-less relevance of decision science.

Douglas W. Hubbard, Author of How to Measure Anything: Finding the Value of Intangibles in Business and The Failure of Risk Management: Why It’s Broken and How to Fix It

Unafraid to blend insights from famous statisticians and Arnold Schwarzenegger in the same breath, Tork-ia and Klimack provide spirited advocacy for the notion that our mental models should often be replaced or augmented by more explicit, conscious modeling and careful analysis; that this can lead to surprising results and drive organizational val-ue; and that it can often be accomplished with fewer prerequisites than we might be inclined to assume.

Peter Cotton, Author of Microprediction: Buildiung an Open AI Network and, Co-Founder and Chief Scientific Officer at Crunch Labs

Decision Superhero by Eric Torkia and Bill Klimack is a standout guide in the field of decision science, penned by a pioneer whose expertise illuminates every chapter. They masterfully bridge the gap between complex theoretical concepts and practical business applications, making decision science accessible to data professionals of varying technical skill levels. Through historical anecdotes and real-world exam-ples, they illustrate the impactful role of decision science across various industries and its pairing with data science to optimize business strategies.

George Mount, Author of Advancing into Analytics and Modern Data Analytics in Excel

 

詳細資料

  • ISBN:9781634626828
  • 規格:平裝 / 344頁 / 22.86 x 15.24 x 1.83 cm / 普通級 / 初版
  • 出版地:美國
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