線形回帰から深層学習への実践ガイド Models Demystified : A Practical Guide from Linear Regression to Deep Learning (Chapman & Hall/crc Data Science Series)

Clark, Michael/ Berry, Seth

Chapman & Hall/CRC（2025/08発売）

• 製本 Hardcover:ハードカバー版／ページ数 474 p.
• 言語 ENG
• 商品コード 9781032582580
• DDC分類 006.312

Full Description

Unlock the Power of Data Science and Machine Learning

In this comprehensive guide, we delve into the world of data science, machine
learning, and AI modeling, providing readers with a robust foundation and practical skills to tackle real-world problems. From basic modeling techniques to advanced machine learning algorithms, this book covers a wide range of topics,ensuring that readers at all levels can benefit from its content. Each chapter is meticulously crafted to offer clear explanations, hands-on examples, and code snippets in both Python and R, making complex concepts accessible and actionable. Additional focus is placed on model interpretation and estimation, common data issues, modeling pitfalls to avoid, and best practices for modeling in general.

Contents

1.Introduction

2.Thinking About Models

3.The Foundation

4.Understanding the Model

5.Understanding the Features

6.Model Estimation and Optimization

7.Estimating Uncertainty

8.Generalized Linear Models

9.Extending the Linear Model

10.Core Concepts in Machine Learning

11.Comon Models in Machine Learning

12.Extending Machine Learning

13.Causal Modeling

14.Dealing with Data

15.Danger Zone

16.Parting Thoughts