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Roger D. Peng's Top Book Recommendations

Want to know what books Roger D. Peng recommends on their reading list? We've researched interviews, social media posts, podcasts, and articles to build a comprehensive list of Roger D. Peng's favorite book recommendations of all time.

Design thinking is the core creative process for any designer; this book explores and explains this apparently mysterious "design ability." Focusing on what designers do when they design, Design Thinking is structured around a series of in-depth case studies of outstanding and expert designers at work, interwoven with overviews and analyses. The range covered reflects the breadth of design, from hardware and software design, to architecture and Formula One. The book offers new insights and understanding of design thinking, based on evidence from observation and investigation of design... more
Recommended by Roger D. Peng, and 1 others.

Roger D. PengIt gives a mental model to describe what happens in the data analysis process. It is about design in general but there’s a lot that we can borrow from that world, to adapt those concepts to our needs. (Source)

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An Introduction to Statistical Learning

With Applications in R

An Introduction to Statistical Learning provides an accessible overview of the field of statistical learning, an essential toolset for making sense of the vast and complex data sets that have emerged in fields ranging from biology to finance to marketing to astrophysics in the past twenty years. This book presents some of the most important modeling and prediction techniques, along with relevant applications. Topics include linear regression, classification, resampling methods, shrinkage approaches, tree- based methods, support vector machines, clustering, and more. Color graphics and... more
Recommended by Roger D. Peng, and 1 others.

Roger D. PengThis book is written by a powerhouse of authors in the machine learning community, true authorities in the field. But beyond that, they’re also great writers. (Source)

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Don't simply show your data--tell a story with it! Storytelling with Data teaches you the fundamentals of data visualization and how to communicate effectively with data. You'll discover the power of storytelling and the way to make data a pivotal point in your story. The lessons in this illuminative text are grounded in theory, but made accessible through numerous real-world examples--ready for immediate application to your next graph or presentation.

Storytelling is not an inherent skill, especially when it comes to data visualization, and the tools at our disposal...
Recommended by Roger D. Peng, and 1 others.

Roger D. PengIt’s important to think in terms of what your audience needs, and what would be best for them among the many choices you could make when analysing data. (Source)

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Practical data design tips from a data visualization expert of the modern age Data doesn't decrease; it is ever-increasing and can be overwhelming to organize in a way that makes sense to its intended audience. Wouldn't it be wonderful if we could actually visualize data in such a way that we could maximize its potential and tell a story in a clear, concise manner? Thanks to the creative genius of Nathan Yau, we can. With this full-color book, data visualization guru and author Nathan Yau uses step-by-step tutorials to show you how to visualize and tell stories with data. He explains... more
Recommended by Roger D. Peng, and 1 others.

Roger D. PengThis book is about how best to present data to other people, what are the tools that you can use, and the types of visualizations that you can make. (Source)

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Interpreting statistical data as evidence, Statistical Evidence: A Likelihood Paradigm focuses on the law of likelihood, fundamental to solving many of the problems associated with interpreting data in this way. Statistics has long neglected this principle, resulting in a seriously defective methodology. This book redresses the balance, explaining why science has clung to a defective methodology despite its well-known defects. After examining the strengths and weaknesses of the work of Neyman and Pearson and the Fisher paradigm, the author proposes an alternative paradigm which provides, in... more
Recommended by Roger D. Peng, and 1 others.

Roger D. PengIt’s a very small book, quick to read, but I’ve gone through it probably twenty or thirty times; and everytime I get something new out of it. (Source)

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