Feature selection and cost reduction in machine learning through black box optimization.
Improving accuracy! Recommended for those interested in black box optimization.
In this seminar, we introduced an overview of combinatorial optimization problems and the quantum annealing Ising machine, a specialized machine for solving these problems. We presented an overview of black-box optimization utilizing the quantum annealing Ising machine, which has been attracting attention from various fields. This content is recommended for those who want to learn about the use cases and applications of the quantum annealing Ising machine, as well as for those interested in reducing the learning and inference costs of machine learning and improving model performance. 【Lecture Content (Partial)】 ■ Introduction to the company and the quantum computing cloud "Fixstars Amplify" ■ Overview of black-box optimization ■ Workshop on black-box optimization using Fixstars Amplify ■ Introduction of other case studies and future learning approaches ■ Q&A *Materials from past seminars can be downloaded from the related links.
- 企業：Fixstars Amplify
- 価格：Other
