Artificial Intelligence for Drug Development, Precision Medicine, and Healthcare, Chang, Mark
Автор: Hand Название: Artificial Intelligence Frontiers in Statistics ISBN: 0412407108 ISBN-13(EAN): 9780412407109 Издательство: Taylor&Francis Рейтинг: Цена: 27562.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book presents a summary of recent work on the interface between artificial intelligence and statistics
Автор: Naitee Ting Название: Dose Finding in Drug Development ISBN: 144192115X ISBN-13(EAN): 9781441921154 Издательство: Springer Рейтинг: Цена: 20896.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: If you have ever wondered when visiting the pharmacy how the dosage of your prescription is determined this book will answer your questions. It introduces the drug development process and explains the practical concerns in selecting doses for a new drug.
Автор: Kleinberg, Samantha (stevens Institute Of Technology, New Jersey) Название: Causality, probability, and time ISBN: 1107686016 ISBN-13(EAN): 9781107686014 Издательство: Cambridge Academ Рейтинг: Цена: 6019.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book presents a new approach to causal inference (finding relationships from a set of data) and explanation (assessing why a particular event occurred), addressing both the timing and complexity of relationships. The practical use of the method developed is illustrated through theoretical and experimental case studies, demonstrating its feasibility and success.
Описание: An important part of the Artificial Intelligence theory is concerned with reasoning based on uncertain information. Classical logic and probability theory are not adequate for this, and many formalisms have been developed. The proceedings contained here aim to contribute to the elucidation of similarities and differences between these formalisms.
Описание: Petr Hajek shows that reasoning in fuzzy logic may be put on a strict logical (formal) basis, so contributing to our understanding of what fuzzy logic is and what one is doing when applying fuzzy reasoning.
Introduction to Rational Decision Making.- Casual Function for Rational Decision Making: Application to Militarized Interstate Disputes.- Correlation Function for Rational Decision Making: Application to Epileptic Activity.- Missing Data Approaches for Rational Decision Making: Application to Anecdotal Data.- Rational Counterfactuals and Decision Making: Application to Interstate Conflict.- Flexibility-Bounded Rationality in Interstate Conflict.- Filtering Irrelevant Information for Rational Decision Making.- Group Decision Making.- Conclusion.- Appendix A: Fourier Transform, Wavelet Transform, Modal Properties and Pseudo-Modal Energies.- Appendix B: Committee of Networks.
Описание: Artificial Intelligence Techniques for Rational Decision Making
Автор: Paris Название: Pure Inductive Logic ISBN: 1107042305 ISBN-13(EAN): 9781107042308 Издательство: Cambridge Academ Рейтинг: Цена: 21226.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book establishes pure inductive logic as a contemporary branch of mathematical logic. Collecting together research from a wide range of sources within one unified context, it provides both a comprehensive account of the subject up to cutting-edge modern research, and an accessible reference for the philosopher or computer scientist.
Автор: Guy Lebanon; Mohamed El-Geish Название: Computing with Data ISBN: 331998148X ISBN-13(EAN): 9783319981482 Издательство: Springer Рейтинг: Цена: 13974.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book introduces basic computing skills designed for industry professionals without a strong computer science background. Written in an easily accessible manner, and accompanied by a user-friendly website, it serves as a self-study guide to survey data science and data engineering for those who aspire to start a computing career, or expand on their current roles, in areas such as applied statistics, big data, machine learning, data mining, and informatics.The authors draw from their combined experience working at software and social network companies, on big data products at several major online retailers, as well as their experience building big data systems for an AI startup. Spanning from the basic inner workings of a computer to advanced data manipulation techniques, this book opens doors for readers to quickly explore and enhance their computing knowledge.Computing with Data comprises a wide range of computational topics essential for data scientists, analysts, and engineers, providing them with the necessary tools to be successful in any role that involves computing with data. The introduction is self-contained, and chapters progress from basic hardware concepts to operating systems, programming languages, graphing and processing data, testing and programming tools, big data frameworks, and cloud computing.The book is fashioned with several audiences in mind. Readers without a strong educational background in CS--or those who need a refresher--will find the chapters on hardware, operating systems, and programming languages particularly useful. Readers with a strong educational background in CS, but without significant industry background, will find the following chapters especially beneficial: learning R, testing, programming, visualizing and processing data in Python and R, system design for big data, data stores, and software craftsmanship.
Автор: Rafalski, Edward M. | Mu Название: Healthcare Analytics ISBN: 1138196363 ISBN-13(EAN): 9781138196360 Издательство: Taylor&Francis Рейтинг: Цена: 5511.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This is a comprehensive, practical guide which looks at the advantages and limitations of new data analysis techniques being introduced across public health and administration services.
ООО "Логосфера " Тел:+7(495) 980-12-10 www.logobook.ru
