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Leveraging GenAI for Machine Learning Education in Public Health

ChatGPT and R

by Ricky Leung ...

Series series Medicine (R0)
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 ... Read more

$140.89 CAD

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
... Read more

Introduction to AI Testing

Guide to ISTQB® CT-AI Certification

by Iosif Itkin, Iuliia Emelianova, Dmitrii Degtiarenko, Anna-Maria Lukina ...

Foreword by Klaudia Dussa-Zieger, P******resident of ISTQB®This book offers a comprehensive introduction to artificial intelligence and machine learning fundamentals, equipping software testers with the skills to effectively leverage AI-powered solutions for testing complex systems and AI applications. It also fully prepares readers for the ISTQB® Certified Tester AI Testing (CT-AI) certification ... Read more

$52.29 CAD

Foreword by Klaudia Dussa-Zieger, P******resident of ISTQB®This book offers a comprehensive introduction to artificial intelligence and machine learning fundamentals, equipping software testers with the skills to effectively leverage AI-powered solutions for testing complex systems and AI applications. It also fully prepares readers for the ISTQB® Certified Tester AI Testing (CT-AI) certification
... Read more
Artificial Intelligence and Machine Learning in Health Care and Medical Sciences

Best Practices and Pitfalls

Edited by Gyorgy J. Simon, Constantin Aliferis ...

Series series Medicine (R0)
This open access book provides a detailed review of the latest methods and applications of artificial intelligence (AI) and machine learning (ML) in medicine. With chapters focusing on enabling the reader to develop a thorough understanding of the key concepts in these subject areas along with a range of methods and resulting models that can be utilized to solve healthcare problems, the use of ... Read more

Free

This open access book provides a detailed review of the latest methods and applications of artificial intelligence (AI) and machine learning (ML) in medicine. With chapters focusing on enabling the reader to develop a thorough understanding of the key concepts in these subject areas along with a range of methods and resulting models that can be utilized to solve healthcare problems, the use of
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Interpretability and Explainability in AI Using Python: Decrypt AI Decision-Making Using Interpretability and Explainability with Python to Build Reliable Machine Learning Systems

by Aruna Chakkirala ...

Demystify AI Decisions and Master Interpretability and Explainability TodayKey Features● Master Interpretability and Explainability in ML, Deep Learning, Transformers, and LLMs● Implement XAI techniques using Python for model transparency● Learn global and local interpretability with real-world examplesBook DescriptionInterpretability in AI/ML refers to the ability to understand and explain how a ... Read more

$28.99 CAD or Free with Kobo Plus

Demystify AI Decisions and Master Interpretability and Explainability TodayKey Features● Master Interpretability and Explainability in ML, Deep Learning, Transformers, and LLMs● Implement XAI techniques using Python for model transparency● Learn global and local interpretability with real-world examplesBook DescriptionInterpretability in AI/ML refers to the ability to understand and explain how a
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Biostatistics with Python

Apply Python for biostatistics with hands-on biomedical and biotechnology projects

by Darko Medin ...

Learn how to utilize biostatistics with Python for excelling in research and biomedical professions with practical exemplar projectsKey FeaturesBridge the gap between biostatistics and life sciences with PythonWork with practical exercises for real-world data analysis in biology and medicineAccess a portfolio of exemplar projects in the domains of biomedicine, biotechnology, and biologyPurchase of ... Read more

$40.79 CAD or Free with Kobo Plus

Learn how to utilize biostatistics with Python for excelling in research and biomedical professions with practical exemplar projectsKey FeaturesBridge the gap between biostatistics and life sciences with PythonWork with practical exercises for real-world data analysis in biology and medicineAccess a portfolio of exemplar projects in the domains of biomedicine, biotechnology, and biologyPurchase of
... Read more
Artificial Intelligence for STEM Education Research

Advanced Methods and Applications

Edited by Xiaoming Zhai, Gyeonggeon Lee ...

Series series Education (R0)
This open access volume explores the transformative use of Artificial Intelligence (AI) as innovative methodologies in STEM education research. Featuring contributions from leading experts, it presents a rich collection of chapters that examine how AI tools—such as adaptive learning systems, automatic scoring, explainable AI, and intelligent tutoring—can be applied to enhance educational outcomes. ... Read more

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This open access volume explores the transformative use of Artificial Intelligence (AI) as innovative methodologies in STEM education research. Featuring contributions from leading experts, it presents a rich collection of chapters that examine how AI tools—such as adaptive learning systems, automatic scoring, explainable AI, and intelligent tutoring—can be applied to enhance educational outcomes.
... Read more
No-Code Data Science

Mastering Advanced Analytics, Machine Learning, and Artificial Intelligence

by David Patrishkoff, Robert E Hoyt ...

No-Code Data Science is a revolutionary book that democratizes the application of predictive analytics for organizations of all sizes. This first-of-its-kind textbook book is designed to empower readers with the ability to leverage advanced analytics, machine learning, and AI without using a programming language, such as Python or R. It’s a comprehensive guide to no-code data science (NCDS) that ... Read more

$37.59 CAD

No-Code Data Science is a revolutionary book that democratizes the application of predictive analytics for organizations of all sizes. This first-of-its-kind textbook book is designed to empower readers with the ability to leverage advanced analytics, machine learning, and AI without using a programming language, such as Python or R. It’s a comprehensive guide to no-code data science (NCDS) that
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Debugging Machine Learning Models with Python

Develop high-performance, low-bias, and explainable machine learning and deep learning models

by Ali Madani ...

Master reproducible ML and DL models with Python and PyTorch to achieve high performance, explainability, and real-world successKey FeaturesLearn how to improve performance of your models and eliminate model biasesStrategically design your machine learning systems to minimize chances of failure in productionDiscover advanced techniques to solve real-world challengesPurchase of the print or Kindle ... Read more

$42.39 CAD or Free with Kobo Plus

Master reproducible ML and DL models with Python and PyTorch to achieve high performance, explainability, and real-world successKey FeaturesLearn how to improve performance of your models and eliminate model biasesStrategically design your machine learning systems to minimize chances of failure in productionDiscover advanced techniques to solve real-world challengesPurchase of the print or Kindle
... Read more
Digital Health and Wireless Solutions: Integrating AI, LLMs and Multimodal Health Data for Next-Generation Decision Support

Second Nordic Conference, NCDHWS 2026, Oulu, Finland, June 16–17, 2026, Proceedings, Part II

Edited by Mariella Särestöniemi, Daljeet Singh, Erika Jarva, Jarmo Reponen ...

Series Book 2 - Springer Nature Proceedings Computer Science
This open access volume set CCIS 3009-3011 constitutes the refereed proceedings of the Second Nordic Conference on Digital Health and Wireless Solutions, NCDHWS 2026, held in Oulu, Finland, during June 16-17, 2026.The total of 86 full and 21 short papers included in the proceedings was carefully reviewed and selected from 159 submissions. They were organized in topical sections as follows:Part I: ... Read more

Free

This open access volume set CCIS 3009-3011 constitutes the refereed proceedings of the Second Nordic Conference on Digital Health and Wireless Solutions, NCDHWS 2026, held in Oulu, Finland, during June 16-17, 2026.The total of 86 full and 21 short papers included in the proceedings was carefully reviewed and selected from 159 submissions. They were organized in topical sections as follows:Part I:
... Read more
Fundamentals of Clinical Data Science

Edited by Pieter Kubben, Michel Dumontier, Andre Dekker ...

This open access book comprehensively covers the fundamentals of clinical data science, focusing on data collection, modelling and clinical applications. Topics covered in the first section on data collection include: data sources, data at scale (big data), data stewardship (FAIR data) and related privacy concerns. Aspects of predictive modelling using techniques such as classification, regression ... Read more

Free

This open access book comprehensively covers the fundamentals of clinical data science, focusing on data collection, modelling and clinical applications. Topics covered in the first section on data collection include: data sources, data at scale (big data), data stewardship (FAIR data) and related privacy concerns. Aspects of predictive modelling using techniques such as classification, regression
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Methods for Analyzing Large Neuroimaging Datasets

Edited by Robert Whelan, Hervé Lemaître ...

Series Book 218 - Neuromethods
This Open Access volume explores the latest advancements and challenges in standardized methodologies, efficient code management, and scalable data processing of neuroimaging datasets. The chapters in this book are organized in four parts. Part One shows the researcher how to access and download large datasets, and how to compute at scale. Part Two covers best practices for working with large data ... Read more

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This Open Access volume explores the latest advancements and challenges in standardized methodologies, efficient code management, and scalable data processing of neuroimaging datasets. The chapters in this book are organized in four parts. Part One shows the researcher how to access and download large datasets, and how to compute at scale. Part Two covers best practices for working with large data
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Designing User Studies in Informatics

by Gondy Leroy ...

Series series Medicine (R0)
This book provides a practical, hands-on guide to conducting user studies in informatics. Its purpose is to explain the foundations of different experimental designs together with the appropriate statistical analyses for studies most often conducted in computing. Common mistakes are highlighted together with guidelines on how they should be avoided. The book is intended for advanced undergraduate ... Read more

$64.09 CAD

This book provides a practical, hands-on guide to conducting user studies in informatics. Its purpose is to explain the foundations of different experimental designs together with the appropriate statistical analyses for studies most often conducted in computing. Common mistakes are highlighted together with guidelines on how they should be avoided. The book is intended for advanced undergraduate
... Read more

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People who read this also enjoyed

Introduction to AI Testing

Artificial Intelligence and Machine Learning in Health Care and Medical Sciences

Interpretability and Explainability in AI Using Python: Decrypt AI Decision-Making Using Interpretability and Explainability with Python to Build Reliable Machine Learning Systems

Biostatistics with Python

Artificial Intelligence for STEM Education Research

No-Code Data Science

Debugging Machine Learning Models with Python

Digital Health and Wireless Solutions: Integrating AI, LLMs and Multimodal Health Data for Next-Generation Decision Support

Fundamentals of Clinical Data Science

Methods for Analyzing Large Neuroimaging Datasets

Designing User Studies in Informatics

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