viii
Preface
explores the relationship between various problems in physics and the method of
machine learning. That is, the first part is written as a textbook, but the second part
is not a text book, it is a collection of recent advanced topics (and so, the chapters in
the second part can be read almost independently). Please refer to the reader’s guide
at the beginning of each section.
A renowned physicist, Ryoyu Uchiyama, said in the preface to his book, Theory
of Relativity [1], “If you read this book and do not understand it, you should give up
learning the theory of relativity.” On the other hand, the field of “machine learning
× physics,” which is the subject of this book, is not a discipline established over a
long history like the theory of relativity, but a field of research that is still undergoing
great progress. So, rather, our message is this: “If you read this book and do not
understand it, it will be a seed for development in the future.”
One of our favorites is the words by S. Weinberg, a particle physicist [2]:
“My advice is to go for the messes – that’s where the action is.”
It is up to the readers to make their own way. We hope this book helps the readers
learn and study.
Tokyo, Japan
Akinori Tanaka
March 2019
Akio Tomiya
Koji Hashimoto
The authors
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