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Machine Learning in Medicine

Provides a comprehensive overview of machine learning and deep learning techniques for biomedical imaging Includes thoracic imaging;

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Machine Learning in Cardiovascular Medicine

; providing a template for clinicians to understand areas of application of machine learning within cardiovascular research; and assist computer;

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Machine Learning in Medicine - a Complete Overview

The current book is the first publication of a complete overview of machine learning methodologies for the medical and health sector. It;

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Machine Learning in Medicine - A Complete Overview

cluster models, neural networks, and other data mining methodologies. The current book is the first publication of a complete overview of machine;

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Machine Learning in Radiation Oncology

This book provides a complete overview of the role of machine learning in radiation oncology and medical physics, covering basic theory;

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Introduction to Statistical Machine Learning

machine learning are combined together they are a powerful tool for analysing various kinds of data in many computer science/engineering areas;

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Logical and Relational Learning

This first textbook on multi-relational data mining and inductive logic programming provides a complete overview of the field. It is self;

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Logical and Relational Learning

This first textbook on multi-relational data mining and inductive logic programming provides a complete overview of the field. It is self;

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Hands-On Machine Learning with IBM Watson

DescriptionIBM Cloud is a collection of cloud computing services for data analytics using machine learning and artificial intelligence (AI). This book;

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Machine Learning in Marketing

developments involved in applying machine learning to marketing. After a short introduction, the following section provides an overview of machine;

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Cognitive Computing Recipes

Solve your AI and machine learning problems using complete and real-world code examples. Using a problem-solution approach, this book makes;

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Fundamentals of Machine Learning and Deep Learning in Medicine

seen a great deal of interest in the AI subfields of machine learning and deep learning from researchers in medicine and life sciences;

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Machine Learning Applications Using Python

Gain practical skills in machine learning for finance, healthcare, and retail. This book uses a hands-on approach by providing case studies;

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Artificial Intelligence and Machine Learning , An Issue of Neuroimaging Clinics of North America

Forghani. Articles will include: A Brief History of Artificial Intelligence; Evolution of Approaches for Computerized Image Analysis; Overview;

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Practical Deep Learning

Deep Learning for Complete Beginners: A Python-Based Introduction is for complete beginners in machine learning. It introduces fundamental;

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MATLAB Machine Learning Recipes

Harness the power of MATLAB to resolve a wide range of machine learning challenges. This book provides a series of examples of technologies;

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MATLAB Machine Learning Recipes

Harness the power of MATLAB to resolve a wide range of machine learning challenges. This book provides a series of examples of technologies;

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Big Data, Data Mining, And Machine Learning

practitioners require, and includes: * A complete overview of big data and its notable characteristics * Details on high performance computing;

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Machine Learning for Healthcare

within your organization and evaluate the efficacy, suitability, and efficiency of machine learning applications. These are illustrated in a case;

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Practical Automated Machine Learning on Azure Using Azure Machine Learning to Quickly Build AI Solutions

apply Automated Machine Learning, a process that uses machine learning to help people build machine learning models. Deepak Mukunthu, Parashar;

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Machine Learning and Data Mining in Pattern Recognition

This book constitutes the refereed proceedings of the 7th International Conference on Machine Learning and Data Mining in Pattern;

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Machine Learning The New AI

A concise overview of machine learning-computer programs that learn from data-which underlies applications that include recommendation;

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Machine Learning

, neurologists and health care practitioners. Provides a non-technical introduction to machine learning and applications to brain disorders;

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Time Series Clustering and Classification

methods, and machine learning methods. It presents a broad and self-contained overview of techniques for both researchers and students. Features;

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Time Series Clustering and Classification

classification methods, and machine learning methods. It presents a broad and self-contained overview of techniques for both researchers and students;

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