#Japan #Tokyo #MiiTel #RevComm #Taiichi Hashimoto

A Friendly Introduction to Machine Learning

The world of machine learning and artificial intelligence (AI) is evolving rapidly, and with that, interest in these fields is also skyrocketing. Taiichi Hashimoto’s latest book, Understanding Machine Learning: Data Analysis and the Inner Workings of AI Algorithms, published by Impress on April 9th, 2026, aims to bridge the gap for those who find themselves daunted by complex equations and programming codes when trying to grasp the fundamentals of this fascinating subject.

In this expertly crafted resource, readers will find an engaging exploration of machine learning, covering everything from the basic questions surrounding the topic to practical applications and methodologies. The book introduces the reader to supervised and unsupervised learning, dimensional reduction techniques such as PCA, t-SNE, and UMAP, as well as the latest developments in deep learning including CNN, RNN, and Transformers. By providing a wealth of illustrations and real-world examples, Hashimoto makes it easy for anyone—even high school students—to comprehend complex concepts in a straightforward manner.

One of the standout features of this book is its commitment to minimizing the use of equations and instead focusing on visual aids to unravel foundational theories. This thoughtful approach ensures that even those who may struggle with mathematics or programming can navigate through the material confidently. The text touches on practical aspects such as model evaluation and deployment, as well as ethical considerations, allowing readers to grasp the complete picture of machine learning and establish a solid foundation for understanding next-generation AI skills.

This book is particularly recommended for:

• - High school students and junior engineers eager to dive into AI and machine learning.
• - Business professionals looking to grasp the overall landscape of machine learning for digital transformation and data utilization.
• - Individuals interested in obtaining a comprehensive overview of machine learning through illustrations.

Table of Contents

1. What is Machine Learning?
2. Steps in Machine Learning
3. Supervised Learning
4. Neural Networks
5. Unsupervised Learning
6. Reinforcement Learning

Book Information

• - Title: Understanding Machine Learning: Data Analysis and the Inner Workings of AI Algorithms
• - Author: Taiichi Hashimoto
• - Publisher: Impress Publishing
• - Release Date: April 9, 2026
• - Price: 2,860 JPY (2,600 JPY + 10% tax)
• - Availability: Nationwide bookstores and Amazon
• - ISBN: 978-4295024224

Author’s Remarks

With the recent surge in interest surrounding generative AI, many learners often feel overwhelmed when trying to decipher its intricacies. Hashimoto's goal with this book is to address questions such as, "What exactly is machine learning doing?" without relying on complicated formulas to bog down the discussion. Instead, the author utilizes approachable illustrations, allowing readers to gradually build their understanding and confidently engage with contemporaneous AI discussions. Both insightful and intriguing, the text hopes to foster a love for learning about machine learning, encouraging readers to enjoy their exploration into this complex field effectively.

Author Profile

Taiichi Hashimoto obtained his PhD in Engineering from the Tokyo Institute of Technology in 2002. Since then, he has been dedicating his expertise to the fields of natural language processing and AI technology. Having held positions at leading companies such as Gree, LINE, and RevComm, Hashimoto leads research in voice recognition, synthesis, and dialogue analysis. His academic contributions extend to teaching at Juntendo University and membership in several academic societies. Previous works include Introduction to Machine Learning for Data Analysis: Using Python to Understand AI Technology and other influential publications.

RevComm Company Overview

RevComm, established with the vision of reinventing communication through AI and voice technology, offers several solutions including the voice analysis AI 'MiiTel'. The company has been recognized for its innovative achievements, including being featured in the Forbes AI 50 2023.

• - Company Name: RevComm, Inc.
• - Location: Marunouchi Building 28F, 2-4-1 Marunouchi, Chiyoda, Tokyo 100-6328, Japan
• - CEO: Takeshi Aida
• - Business: Development of AI and voice software and databases.
• - Website: RevComm

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