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Shoeisha Co., Ltd.
| Address | 5 Funamachi Shinjuku-ku Tokyo, JAPAN ZIP:160-0006 |
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SD item code:13369983
| Detail | Price & Quantity | ||
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| S1 |
Kentaro Kutsugake (Author)
 Original text before translation
沓掛 健太朗 (著)
(185650)
JAN:9784798185651
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(185650)
JAN:9784798185651
Wholesale Price: Members Only
1 pc /set
In Stock
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| Shipping Date |
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About 1 week
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| Dimensions |
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Format:A5
Number of pages:240 |
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Country of manufacture: Japan
Material / component: Format:Book (paper)
Year of manufacture: 2025
Product tag: None
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Description
| Bottlenecks in the field. Using Machine Learning and Optimization to to break through the bottleneck! [Summary of this book] This book explains how to solve problems using machine learning and optimization for those who are stuck in the [valley to implementation] that occurs in the field of AI development. In order to give you the ability to deal with diverse issues, the book not only shows you how to deal with them, but also explains the thinking behind them, so you can gain a deeper understanding of them. [Solving the following problems that occur in the field] *How do I put machine learning and optimization into the problem? *What machine learning method should I use? *What to do when the number of possible trials is small? [Intended audience] The following people who are struggling in the field of AI development *Researchers and developers *AI project managers [Table of Contents] Chapter 0 Introduction Chapter 1: Problems that arise in problem setting in the first place and approaches to solving them Chapter 2: Problems encountered in machine learning development and approaches to solving them Chapter 3: Problems faced in actual optimization and approaches to solving them [Author's Profile] Kentaro Kutsukake Associate Professor, Institute for Materials*Systems Research, Nagoya University. Representative of Informatics Application Research Group, Japan Society of Applied Physics. Technical Advisor, iCrystal Corporation. Director of the Association for the Promotion of AI in Manufacturing. After working as an assistant professor at the Institute for Materials Research, Tohoku University, a specially-appointed lecturer at the Organization for the Creation of Future Society, Nagoya University, and a researcher at the RIKEN Center for Integrated Research on Innovative Intelligence, he has been in his current position since 2024. He specializes in crystal engineering and applied information science. His hobbies include running marathons and visiting Japanese castles. |
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| Shipping Method | Estimated Arrival |
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| Sea Mail | From Nov.10th 2025 to Jan.12th 2026 |
| Air Mail | From Oct.23rd 2025 to Oct.27th 2025 |
| EMS | From Oct.22nd 2025 to Oct.27th 2025 |
| Pantos Express | From Oct.24th 2025 to Oct.29th 2025 |
| DHL | From Oct.22nd 2025 to Oct.24th 2025 |
| UPS | From Oct.22nd 2025 to Oct.24th 2025 |
| FedEx | From Oct.22nd 2025 to Oct.24th 2025 |
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Other items from this category:
Using Machine Learning and Optimization to
to break through the bottleneck!
[Summary of this book]
This book explains how to solve problems using machine learning and optimization for those who are stuck in the [valley to implementation] that occurs in the field of AI development. In order to give you the ability to deal with diverse issues, the book not only shows you how to deal with them, but also explains the thinking behind them, so you can gain a deeper understanding of them.
[Solving the following problems that occur in the field]
*How do I put machine learning and optimization into the problem?
*What machine learning method should I use?
*What to do when the number of possible trials is small?
[Intended audience]
The following people who are struggling in the field of AI development
*Researchers and developers
*AI project managers
[Table of Contents]
Chapter 0 Introduction
Chapter 1: Problems that arise in problem setting in the first place and approaches to solving them
Chapter 2: Problems encountered in machine learning development and approaches to solving them
Chapter 3: Problems faced in actual optimization and approaches to solving them
[Author's Profile]
Kentaro Kutsukake
Associate Professor, Institute for Materials*Systems Research, Nagoya University. Representative of Informatics Application Research Group, Japan Society of Applied Physics. Technical Advisor, iCrystal Corporation. Director of the Association for the Promotion of AI in Manufacturing.
After working as an assistant professor at the Institute for Materials Research, Tohoku University, a specially-appointed lecturer at the Organization for the Creation of Future Society, Nagoya University, and a researcher at the RIKEN Center for Integrated Research on Innovative Intelligence, he has been in his current position since 2024.
He specializes in crystal engineering and applied information science. His hobbies include running marathons and visiting Japanese castles.