AI and Statistical Terminology Glossary: "Machine Learning"
There are three types: supervised learning, unsupervised learning, and reinforcement learning!
Machine learning is a technology that automatically analyzes data and learns rules and patterns, enabling predictions and judgments when faced with new similar challenges. Deep learning is a type of machine learning where the model automatically learns useful features without human intervention, enhancing its accuracy. There are three types of machine learning: (1) supervised learning, (2) unsupervised learning, and (3) reinforcement learning. *For detailed content of the glossary, please refer to the related links. For more information, feel free to contact us.*
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Our company was established on May 25, 2018, through joint investment by Keio Corporation and Professor Maki Sakamoto of the National University Corporation, University of Electro-Communications. We are a company that can commercially utilize the intellectual property from the Sakamoto Laboratory at the University of Electro-Communications, which has been certified as a venture originating from the university. By creating AI that understands the hidden senses within people and supports their expression, we aim to become a platform for the utilization of sensitivity.