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Titlebook: Machine Learning and AI for Healthcare; Big Data for Improve Arjun Panesar Book 2021Latest edition Arjun Panesar 2021 Machine Learing.Artif

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發(fā)表于 2025-3-21 17:24:50 | 只看該作者 |倒序瀏覽 |閱讀模式
書目名稱Machine Learning and AI for Healthcare
副標題Big Data for Improve
編輯Arjun Panesar
視頻videohttp://file.papertrans.cn/621/620431/620431.mp4
概述Offers healthcare professionals a tech jargon-free understanding of the applications of machine learning in healthcare.Covers the ethics of data and learning governance and the hurdles that require ad
圖書封面Titlebook: Machine Learning and AI for Healthcare; Big Data for Improve Arjun Panesar Book 2021Latest edition Arjun Panesar 2021 Machine Learing.Artif
描述.This updated second edition offers a guided tour of machine learning algorithms and architecture design. It provides real-world applications of intelligent systems in healthcare and covers the challenges of managing big data..The book has been updated with the latest research in massive data, machine learning, and AI ethics. It covers new topics in managing the complexities of massive data, and provides examples of complex machine learning models. Updated case studies from global healthcare providers showcase the use of big data and AI in the fight against chronic and novel diseases, including COVID-19. The ethical implications of digital healthcare, analytics, and the future of AI in population health management are explored. You will learn how to create a machine learning model, evaluate its performance, and operationalize its outcomes within your organization. Case studies from leading healthcare providers cover scaling global digital services. Techniques are presented to evaluate the efficacy, suitability, and efficiency of AI machine learning applications through case studies and best practice, including the Internet of Things..You will understand how machine learning can be
出版日期Book 2021Latest edition
關(guān)鍵詞Machine Learing; Artificial Intelligence; Healthcare; Big Data; Analytics; Real-Time Series; Deep Learning
版次2
doihttps://doi.org/10.1007/978-1-4842-6537-6
isbn_softcover978-1-4842-6536-9
isbn_ebook978-1-4842-6537-6
copyrightArjun Panesar 2021
The information of publication is updating

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Preparing Data,rough feeding models data, thus making the most crucial step in any data or machine learning project cleaning and preparation. It cannot be stressed enough: bad data creates bad results even when fed to the world’s most sophisticated machine learning models.
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Data,real time to optimize, maintain, and enhance the quality of life for entire populations. They may even be connected to your Amazon or Google accounts and aware of all significant events in our health and day-to-day living as human–computer interaction becomes even more embedded in smart care.
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