How to Measure Anything

By Douglas W. Hubbard,

Book cover of How to Measure Anything: Finding the Value of Intangibles in Business

Book description

Now updated with new measurement methods and new examples, How to Measure Anything shows managers how to inform themselves in order to make less risky, more profitable business decisions This insightful and eloquent book will show you how to measure those things in your own business, government agency or other…

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Why read it?

1 author picked How to Measure Anything as one of their favorite books. Why do they recommend it?

While technically not about deep learning, this book is fantastic for those interested in pursuing applied or practical machine learning problems. While the central thesis of a topic can be reduced to “Frequently, models are valuable simply by reducing uncertainty,” it is definitely worth a read as there’s a lot of deep thinking in this book!

From Jakub's list on applied deep learning.

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