AI Finance Application Research Institute

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Books

Books written by researchers

機械学習ガイドブック Book Title:機械学習ガイドブック(Guidebook of Machine Learning)
Language: Japanese
Author: Yutaka Sakurai
Publisher: Ohmsha
Release date: June 25, 2019

Content:This book is a guidebook on machine learning, mainly for beginners and intermediate users, which selects and explains various elements necessary for understanding and practicing machine learning. Starting with an overview of machine learning, the book explains the history of machine learning and its major algorithms, describes and links R and Python as programming languages for practicing, explains the various points to keep in mind in order to use machine learning properly, describes the practice of deep learning using Keras, and explains how to use machine learning as a reinforcement tool. The appendix also includes an overview of the mathematics behind the theory of machine learning and basic code for R and Python.
人工知能が金融を支配する日 Book Title:人工知能が金融を支配する日(When Artificial Intelligence Rules the Financial World)
Language: Japanese
Author: Yutaka Sakurai
Publisher:Toyo Keizai Inc.
Release date:August 19, 2016

Content:This book extorts the "behind-the-scenes" of the financial industry and artificial intelligence, which is not often reported.
数理ファイナンスの歴史 Book Title:数理ファイナンスの歴史(The History of Mathematical Finance)
Language: Japanese
Author: Yutaka Sakurai
Publisher:Kinzai
Release date:March 30, 2016

Content:568 page book of history of financial engineering from the early 20th century to the present day is organized chronologically, including various related events, financial crises, and regulatory developments. The book is unparalleled as introduces in an easy-to-understand manner the major papers that financial professionals should know, and an easy-to-reference model guide for market professionals and as a reading material that enables readers to understand cutting-edge technology from the background of its formation.

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