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Condition: As New. Unread book in perfect condition.
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Paperback. Condition: As New. No Jacket. Pages are clean and are not marred by notes or folds of any kind. ~ ThriftBooks: Read More, Spend Less.
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Condition: New.
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Machine Learning for Healthcare Analytics Projects (Paperback or Softback)
Language: English
Published by Packt Publishing 10/29/2018, 2018
ISBN 10: 1789536596 ISBN 13: 9781789536591
Paperback or Softback. Condition: New. Machine Learning for Healthcare Analytics Projects. Book.
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Condition: As New. Unread book in perfect condition.
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Machine Learning for Healthcare Analytics Projects
Language: English
Published by Packt Publishing Limited, GB, 2018
ISBN 10: 1789536596 ISBN 13: 9781789536591
Paperback. Condition: New. Create real-world machine learning solutions using NumPy, pandas, matplotlib, and scikit-learnKey FeaturesDevelop a range of healthcare analytics projects using real-world datasetsImplement key machine learning algorithms using a range of libraries from the Python ecosystemAccomplish intermediate-to-complex tasks by building smart AI applications using neural network methodologiesBook DescriptionMachine Learning (ML) has changed the way organizations and individuals use data to improve the efficiency of a system. ML algorithms allow strategists to deal with a variety of structured, unstructured, and semi-structured data. Machine Learning for Healthcare Analytics Projects is packed with new approaches and methodologies for creating powerful solutions for healthcare analytics.This book will teach you how to implement key machine learning algorithms and walk you through their use cases by employing a range of libraries from the Python ecosystem. You will build five end-to-end projects to evaluate the efficiency of Artificial Intelligence (AI) applications for carrying out simple-to-complex healthcare analytics tasks. With each project, you will gain new insights, which will then help you handle healthcare data efficiently. As you make your way through the book, you will use ML to detect cancer in a set of patients using support vector machines (SVMs) and k-Nearest neighbors (KNN) models. In the final chapters, you will create a deep neural network in Keras to predict the onset of diabetes in a huge dataset of patients. You will also learn how to predict heart diseases using neural networks.By the end of this book, you will have learned how to address long-standing challenges, provide specialized solutions for how to deal with them, and carry out a range of cognitive tasks in the healthcare domain.What you will learnExplore super imaging and natural language processing (NLP) to classify DNA sequencingDetect cancer based on the cell information provided to the SVMApply supervised learning techniques to diagnose autism spectrum disorder (ASD)Implement a deep learning grid and deep neural networks for detecting diabetesAnalyze data from blood pressure, heart rate, and cholesterol level tests using neural networksUse ML algorithms to detect autistic disordersWho this book is forMachine Learning for Healthcare Analytics Projects is for data scientists, machine learning engineers, and healthcare professionals who want to implement machine learning algorithms to build smart AI applications. Basic knowledge of Python or any programming language is expected to get the most from this book.
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Condition: Good. Clean text, Light wear to edges. Overall good condition. Ships next business day from NC.
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Machine Learning for Healthcare Analytics Projects
Language: English
Published by Packt Publishing Limited, GB, 2018
ISBN 10: 1789536596 ISBN 13: 9781789536591
Seller: Rarewaves.com USA, London, LONDO, United Kingdom
Seller rating 5 out of 5 stars
Paperback. Condition: New. Create real-world machine learning solutions using NumPy, pandas, matplotlib, and scikit-learnKey FeaturesDevelop a range of healthcare analytics projects using real-world datasetsImplement key machine learning algorithms using a range of libraries from the Python ecosystemAccomplish intermediate-to-complex tasks by building smart AI applications using neural network methodologiesBook DescriptionMachine Learning (ML) has changed the way organizations and individuals use data to improve the efficiency of a system. ML algorithms allow strategists to deal with a variety of structured, unstructured, and semi-structured data. Machine Learning for Healthcare Analytics Projects is packed with new approaches and methodologies for creating powerful solutions for healthcare analytics.This book will teach you how to implement key machine learning algorithms and walk you through their use cases by employing a range of libraries from the Python ecosystem. You will build five end-to-end projects to evaluate the efficiency of Artificial Intelligence (AI) applications for carrying out simple-to-complex healthcare analytics tasks. With each project, you will gain new insights, which will then help you handle healthcare data efficiently. As you make your way through the book, you will use ML to detect cancer in a set of patients using support vector machines (SVMs) and k-Nearest neighbors (KNN) models. In the final chapters, you will create a deep neural network in Keras to predict the onset of diabetes in a huge dataset of patients. You will also learn how to predict heart diseases using neural networks.By the end of this book, you will have learned how to address long-standing challenges, provide specialized solutions for how to deal with them, and carry out a range of cognitive tasks in the healthcare domain.What you will learnExplore super imaging and natural language processing (NLP) to classify DNA sequencingDetect cancer based on the cell information provided to the SVMApply supervised learning techniques to diagnose autism spectrum disorder (ASD)Implement a deep learning grid and deep neural networks for detecting diabetesAnalyze data from blood pressure, heart rate, and cholesterol level tests using neural networksUse ML algorithms to detect autistic disordersWho this book is forMachine Learning for Healthcare Analytics Projects is for data scientists, machine learning engineers, and healthcare professionals who want to implement machine learning algorithms to build smart AI applications. Basic knowledge of Python or any programming language is expected to get the most from this book.
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AI for Predictive Analytics: Forecasting with Machine Learning Using AI to analyze historical data and predict future trends for industries like finance and healthcare
Seller: Ria Christie Collections, Uxbridge, United Kingdom
Seller rating 5 out of 5 stars
£ 18.58
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paperback. Condition: New. Ships in a BOX from Central Missouri! UPS shipping for most packages, (Priority Mail for AK/HI/APO/PO Boxes).
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Machine Learning for Healthcare Analytics Projects: Build smart AI applications using neural network methodologies across the healthcare vertical market
Seller: Ria Christie Collections, Uxbridge, United Kingdom
Seller rating 5 out of 5 stars
£ 26.22
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Machine Learning for Healthcare Analytics Projects
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
Condition: New.
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Machine Learning for Healthcare Analytics Projects
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
Condition: As New. Unread book in perfect condition.
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hardcover. Condition: Fine. Open Books is a nonprofit social venture that provides literacy experiences for thousands of readers each year through inspiring programs and creative capitalization of books.
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Healthcare Analytics Made Simple: Techniques in healthcare computing using machine learning and Python
Seller: Ria Christie Collections, Uxbridge, United Kingdom
Seller rating 5 out of 5 stars
£ 40.56
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EXPLAINABLE AI IN HEALTHCARE UNBOXING MACHINE LEARNING FOR BIOMEDICINE (PB 2025) (Analytics and Ai for Healthcare)
Language: English
Published by Chapman and Hall/CRC, 2025
ISBN 10: 1032367121 ISBN 13: 9781032367125
Condition: New.
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Healthcare Analytics Made Simple: Techniques in healthcare computing using machine learning and Python
Language: English
Published by Packt Publishing 2018-07-31, 2018
ISBN 10: 1787286703 ISBN 13: 9781787286702
£ 37.35
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Add to basketPaperback. Condition: New.
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EXPLAINABLE AI IN HEALTHCARE UNBOXING MACHINE LEARNING FOR BIOMEDICINE (PB 2025) (Analytics and Ai for Healthcare)
Language: English
Published by Chapman and Hall/CRC, 2025
ISBN 10: 1032367121 ISBN 13: 9781032367125
Condition: New.
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Condition: As New. Unread book in perfect condition.
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Healthcare Analytics Made Simple. Techniques in healthcare computing using machine learning and Python.
Published by Packt, Birmingham and Mumbai, July 2018., 2018
Seller: City Basement Books, Melbourne, VIC, Australia
Seller rating 5 out of 5 stars
8vo (23.5x19cm), paperback, viii + 250pp. Good condition. Light wear, bumped, a little curved. Appears to be unread. Pictures available on request.
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Condition: As New. Unread book in perfect condition.
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Condition: As New. Unread book in perfect condition.
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Condition: As New. Unread book in perfect condition.
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Machine Learning for Practical Decision Making: A Multidisciplinary Perspective with Applications from Healthcare, Engineering and Business Analytics
Seller: Ria Christie Collections, Uxbridge, United Kingdom
Seller rating 5 out of 5 stars
£ 45.68
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EXPLAINABLE AI IN HEALTHCARE UNBOXING MACHINE LEARNING FOR BIOMEDICINE (PB 2025) (Analytics and Ai for Healthcare)
Language: English
Published by Chapman and Hall/CRC, 2025
ISBN 10: 1032367121 ISBN 13: 9781032367125
Condition: New.
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