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Ajouter au panierPaperback. Etat : new. Paperback. Cancer Prediction for Industrial IoT 4.0: A Machine Learning Perspective explores various cancers using Artificial Intelligence techniques. It presents the rapid advancement in the existing prediction models by applying Machine Learning techniques. Several applications of Machine Learning in different cancer prediction and treatment options are discussed, including specific ideas, tools and practices most applicable to product/service development and innovation opportunities. The wide variety of topics covered offers readers multiple perspectives on various disciplines.Features Covers the fundamentals, history, reality and challenges of cancer Presents concepts and analysis of different cancers in humans Discusses Machine Learning-based deep learning and data mining concepts in the prediction of cancer Offers real-world examples of cancer prediction Reviews strategies and tools used in cancer prediction Explores the future prospects in cancer prediction and treatmentReaders will learn the fundamental concepts and analysis of cancer prediction and treatment, including how to apply emerging technologies such as Machine Learning into practice to tackle challenges in domains/fields of cancer with real-world scenarios. Hands-on chapters contributed by academicians and other professionals from reputed organizations provide and describe frameworks, applications, best practices and case studies on emerging cancer treatment and predictions.This book will be a vital resource to graduate students, data scientists, Machine Learning researchers, medical professionals and analytics managers. This book presents the developments in machine learning with data mining, and their influence in Industrial IoT 4.0 for cancer prediction. It is aimed primarily at graduates and researchers working in machine learning and data mining. Researchers and healthcare specialists studying cancer will also find this book useful. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
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Ajouter au panierPaperback. Etat : new. Paperback. Cancer Prediction for Industrial IoT 4.0: A Machine Learning Perspective explores various cancers using Artificial Intelligence techniques. It presents the rapid advancement in the existing prediction models by applying Machine Learning techniques. Several applications of Machine Learning in different cancer prediction and treatment options are discussed, including specific ideas, tools and practices most applicable to product/service development and innovation opportunities. The wide variety of topics covered offers readers multiple perspectives on various disciplines.Features Covers the fundamentals, history, reality and challenges of cancer Presents concepts and analysis of different cancers in humans Discusses Machine Learning-based deep learning and data mining concepts in the prediction of cancer Offers real-world examples of cancer prediction Reviews strategies and tools used in cancer prediction Explores the future prospects in cancer prediction and treatmentReaders will learn the fundamental concepts and analysis of cancer prediction and treatment, including how to apply emerging technologies such as Machine Learning into practice to tackle challenges in domains/fields of cancer with real-world scenarios. Hands-on chapters contributed by academicians and other professionals from reputed organizations provide and describe frameworks, applications, best practices and case studies on emerging cancer treatment and predictions.This book will be a vital resource to graduate students, data scientists, Machine Learning researchers, medical professionals and analytics managers. This book presents the developments in machine learning with data mining, and their influence in Industrial IoT 4.0 for cancer prediction. It is aimed primarily at graduates and researchers working in machine learning and data mining. Researchers and healthcare specialists studying cancer will also find this book useful. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.
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Ajouter au panierPaperback. Etat : new. Paperback. Cancer Prediction for Industrial IoT 4.0: A Machine Learning Perspective explores various cancers using Artificial Intelligence techniques. It presents the rapid advancement in the existing prediction models by applying Machine Learning techniques. Several applications of Machine Learning in different cancer prediction and treatment options are discussed, including specific ideas, tools and practices most applicable to product/service development and innovation opportunities. The wide variety of topics covered offers readers multiple perspectives on various disciplines.Features Covers the fundamentals, history, reality and challenges of cancer Presents concepts and analysis of different cancers in humans Discusses Machine Learning-based deep learning and data mining concepts in the prediction of cancer Offers real-world examples of cancer prediction Reviews strategies and tools used in cancer prediction Explores the future prospects in cancer prediction and treatmentReaders will learn the fundamental concepts and analysis of cancer prediction and treatment, including how to apply emerging technologies such as Machine Learning into practice to tackle challenges in domains/fields of cancer with real-world scenarios. Hands-on chapters contributed by academicians and other professionals from reputed organizations provide and describe frameworks, applications, best practices and case studies on emerging cancer treatment and predictions.This book will be a vital resource to graduate students, data scientists, Machine Learning researchers, medical professionals and analytics managers. This book presents the developments in machine learning with data mining, and their influence in Industrial IoT 4.0 for cancer prediction. It is aimed primarily at graduates and researchers working in machine learning and data mining. Researchers and healthcare specialists studying cancer will also find this book useful. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.
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Edité par Chapman and Hall/CRC 2021-12-31, 2021
ISBN 10 : 1032028785 ISBN 13 : 9781032028781
Langue: anglais
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Ajouter au panierTaschenbuch. Etat : Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - This book presents the developments in machine learning with data mining, and their influence in Industrial IoT 4.0 for cancer prediction. It is aimed primarily at graduates and researchers working in machine learning and data mining. Researchers and healthcare specialists studying cancer will also find this book useful.
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Ajouter au panierEtat : New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Dr. Meenu Gupta completed her PhD in Computer Science & Engineering with emphasis on Traffic Accident Severity problem from the Ansal University, Gurugram, India (2020), an M.Tech in Computer Sceince & Engineerin.