Start Your First Machine Learning Journey With This Book! Release of 'Understanding Machine Learning Gradually: Inside Data Analysis and Algorithms'
Taiichi Hashimoto, Research Director at RevComm, has published an introductory book on machine learning from Impress, designed to be easily understood by beginners using illustrations instead of complex math.
📋 Article Processing Timeline
- 📰 Published: April 9, 2026 at 20:00
- 🔍 Collected: April 9, 2026 at 11:31
- 🤖 AI Analyzed: April 20, 2026 at 09:34 (262h 3m after Collected)
Taiichi Hashimoto, Director/Research Director of RevComm Inc. (Headquarters: Chiyoda-ku, Tokyo), which develops and provides the voice analysis AI "MiiTel", published a new book titled "Understanding Machine Learning Gradually: Inside Data Analysis and Algorithms" on Thursday, April 9, 2026, from Impress Corporation.
Start your first machine learning journey with this book! A super-introductory book on machine learning that even students and new engineers who are weak at math can read smoothly.
With the rapid development of generative AI, interest in machine learning is also growing. However, many people who pick up specialized books to learn are overwhelmed by complex mathematical formulas and programming codes, leading them to give up.
This book is an "introduction to machine learning" that unravels everything from the "why?" to the "how to use?" of machine learning in a single volume.
It covers important topics, ranging from basics like supervised and unsupervised learning to dimensionality reduction using PCA, t-SNE, and UMAP, as well as the latest deep learning (CNN, RNN, Transformer) and reinforcement learning. Even difficult concepts can be deeply understood through abundant illustrations and specific application examples in a simple style that even high school students can grasp, making it visually and practically accessible. In addition, because it carefully explains basic theories centering on diagrams while minimizing the use of mathematical formulas, students and new IT engineers who are weak at math can read it with confidence. Touching on practical aspects such as model evaluation, deployment, and ethics, this is a must-have book that allows you to grasp the entire picture of machine learning and acquire the basics of next-generation AI skills in just one volume.
Highly recommended for the following people:
- High school students, university students, and new engineers who want to start learning AI and machine learning from now on
- Business professionals who want to grasp the overall picture of machine learning in the field of DX promotion and data utilization
- Those who want an overview of the basics of machine learning in a single volume centering on illustrations
Table of Contents
Start your first machine learning journey with this book! A super-introductory book on machine learning that even students and new engineers who are weak at math can read smoothly.
With the rapid development of generative AI, interest in machine learning is also growing. However, many people who pick up specialized books to learn are overwhelmed by complex mathematical formulas and programming codes, leading them to give up.
This book is an "introduction to machine learning" that unravels everything from the "why?" to the "how to use?" of machine learning in a single volume.
It covers important topics, ranging from basics like supervised and unsupervised learning to dimensionality reduction using PCA, t-SNE, and UMAP, as well as the latest deep learning (CNN, RNN, Transformer) and reinforcement learning. Even difficult concepts can be deeply understood through abundant illustrations and specific application examples in a simple style that even high school students can grasp, making it visually and practically accessible. In addition, because it carefully explains basic theories centering on diagrams while minimizing the use of mathematical formulas, students and new IT engineers who are weak at math can read it with confidence. Touching on practical aspects such as model evaluation, deployment, and ethics, this is a must-have book that allows you to grasp the entire picture of machine learning and acquire the basics of next-generation AI skills in just one volume.
Highly recommended for the following people:
- High school students, university students, and new engineers who want to start learning AI and machine learning from now on
- Business professionals who want to grasp the overall picture of machine learning in the field of DX promotion and data utilization
- Those who want an overview of the basics of machine learning in a single volume centering on illustrations
Table of Contents