Leveraging GenAI for Machine Learning Education in Public Health : ChatGPT and R （2026. xv, 245 S. XV, 245 p. 91 illus., 82 illus. in color. 235 mm）

個数：

予約

Leveraging GenAI for Machine Learning Education in Public Health : ChatGPT and R （2026. xv, 245 S. XV, 245 p. 91 illus., 82 illus. in color. 235 mm）

Leung, Ricky

ウェブストア価格 ¥29,956（本体¥27,233）
SPRINGER, BERLIN; SPRINGER（2026/02発売）
外貨定価 EUR 117.69
ポイント 272pt

現在予約受付中です。出版後の入荷・発送となります。
（重要：表示されている発売日は予定となり、発売が延期、中止、生産限定品で商品確保ができないなどの理由により、ご注文をお取消しさせていただく場合がございます。予めご了承ください。）

●3Dセキュア導入とクレジットカードによるお支払いについて

【入荷遅延について】
世界情勢の影響により、海外からお取り寄せとなる洋書・洋古書の入荷が、表示している標準的な納期よりも遅延する場合がございます。
おそれいりますが、あらかじめご了承くださいますようお願い申し上げます。

◆画像の表紙や帯等は実物とは異なる場合があります。

◆ウェブストアでの洋書販売価格は、弊社店舗等での販売価格とは異なります。
また、洋書販売価格は、ご注文確定時点での日本円価格となります。
ご注文確定後に、同じ洋書の販売価格が変動しても、それは反映されません。

製本 Hardcover:ハードカバー版／ページ数 180 p.
言語 ENG
商品コード 9783032086761

Full Description

This book explores how ChatGPT, as a generative AI (Gen-AI) platform, can support education, research, and skill development in artificial intelligence (AI) and machine learning (ML) for public health applications. By bridging the gap between AI technology and public health expertise, the book empowers readers to harness AI/ML for data-driven decision-making, health interventions, and innovative research in the digital age.

The rapid advancement of AI and ML is transforming public health research, policy, and practice. However, many public health professionals lack the technical expertise to leverage these tools effectively. This book addresses this gap. It provides a structured approach to integrating ChatGPT into learning environments, from higher education to professional training, offering accessible explanations, hands-on exercises, and real-world applications.

The book begins with an introduction to AI and ML in public health. It then examines how ChatGPT can enhance AI/ML education through a method known as "programming by prompting" — a technique where users interact with AI models by providing structured prompts to generate, modify, and refine code. This approach enables learners to write functional code without requiring extensive prior programming knowledge, and allows them to work with data relevant to public health.

As a pedagogical tool, the book provides simulated electronic health record (EHR) data to facilitate hands-on learning of ChatGPT's applications in practice. It also introduces fundamental ML concepts, algorithms, and models so that learners gain both foundational knowledge and an understanding of their real-world applications in public health. The book also explores responsible use of ChatGPT and similar Gen-AI tools, ethical considerations, data privacy, and transparency to provide a well-rounded perspective on AI's role in public health.

Leveraging GenAI for Machine Learning Education in Public Health is an invaluable resource for public health professionals, educators, researchers, and students interested in developing AI literacy and practical skills. The text also would appeal to healthcare data scientists and analysts, medical and health informatics professionals, public health policymakers, tech and AI enthusiasts in public health, executive and continuing education learners, multidisciplinary scholars, and practitioners.

Part 1 Laying the Foundation.- Chapter 1 Introduction.- Chapter 2 Understanding AI and Machine Learning for Public Health.- Chapter 3 Getting Started with RStudio and ChapGPT.- Part 2 Machine Learning Techniques and Applications.- Chapter 4 Supervised Learning I: Classification Models.- Chapter 5 Supervised Learning II: Regression Models.- Chapter 6 Unsupervised Learning.- Chapter 7 Advanced Machine Learning Models.- Part 3 Ethical, Responsible, and Realworld AI Applications.- Chapter 8 Realworld Applications of Supervised Learning.- Chapter 9 Explainability and Reproducibility in Machine Learning.- Chapter 10 Future Directions and Continuous Learning in AI.