Applied Machine Learning for Healthcare and Life Sciences using AWS: Transformational AI implementations for biotech, clinical, and healthcare organiz
暫譯: 使用 AWS 的應用機器學習於醫療與生命科學:生技、臨床及醫療組織的轉型 AI 實作
Ratan, Ujjwal
- 出版商: Packt Publishing
- 出版日期: 2022-11-25
- 售價: $1,770
- 貴賓價: 9.5 折 $1,682
- 語言: 英文
- 頁數: 224
- 裝訂: Quality Paper - also called trade paper
- ISBN: 1804610216
- ISBN-13: 9781804610213
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相關分類:
Amazon Web Services、GAN 生成對抗網絡、人工智慧、Machine Learning、物聯網 IoT
海外代購書籍(需單獨結帳)
商品描述
Build real-world artificial intelligence apps on AWS to overcome challenges faced by healthcare providers and payers, as well as pharmaceutical, life sciences research, and commercial organizations
Key Features:
- Learn about healthcare industry challenges and how machine learning can solve them
- Explore AWS machine learning services and their applications in healthcare and life sciences
- Discover practical coding instructions to implement machine learning for healthcare and life sciences
Book Description:
While machine learning is not new, it's only now that we are beginning to uncover its true potential in the healthcare and life sciences industry. The availability of real-world datasets and access to better compute resources have helped researchers invent applications that utilize known AI techniques in every segment of this industry, such as providers, payers, drug discovery, and genomics.
This book starts by summarizing the introductory concepts of machine learning and AWS machine learning services. You'll then go through chapters dedicated to each segment of the healthcare and life sciences industry. Each of these chapters has three key purposes -- First, to introduce each segment of the industry, its challenges, and the applications of machine learning relevant to that segment. Second, to help you get to grips with the features of the services available in the AWS machine learning stack like Amazon SageMaker and Amazon Comprehend Medical. Third, to enable you to apply your new skills to create an ML-driven solution to solve problems particular to that segment. The concluding chapters outline future industry trends and applications.
By the end of this book, you'll be aware of key challenges faced in applying AI to healthcare and life sciences industry and learn how to address those challenges with confidence.
What You Will Learn:
- Explore the healthcare and life sciences industry
- Find out about the key applications of AI in different industry segments
- Apply AI to medical images, clinical notes, and patient data
- Discover security, privacy, fairness, and explainability best practices
- Explore the AWS ML stack and key AI services for the industry
- Develop practical ML skills using code and AWS services
- Discover all about industry regulatory requirements
Who this book is for:
This book is specifically tailored toward technology decision-makers, data scientists, machine learning engineers, and anyone who works in the data engineering role in healthcare and life sciences organizations. Whether you want to apply machine learning to overcome common challenges in the healthcare and life science industry or are looking to understand the broader industry AI trends and landscape, this book is for you. This book is filled with hands-on examples for you to try as you learn about new AWS AI concepts.
商品描述(中文翻譯)
在 AWS 上構建現實世界的人工智慧應用程式,以克服醫療提供者、支付者以及製藥、生命科學研究和商業組織所面臨的挑戰
主要特點:
- 了解醫療行業的挑戰以及機器學習如何解決這些挑戰
- 探索 AWS 機器學習服務及其在醫療和生命科學中的應用
- 發現實用的編碼指導,以實現醫療和生命科學的機器學習
書籍描述:
雖然機器學習並不新穎,但我們現在才開始揭示其在醫療和生命科學行業的真正潛力。現實世界數據集的可用性和更好的計算資源的獲取,幫助研究人員發明利用已知人工智慧技術的應用,涵蓋該行業的每個領域,如提供者、支付者、藥物發現和基因組學。
本書首先總結了機器學習和 AWS 機器學習服務的入門概念。接下來,您將逐章了解醫療和生命科學行業的每個細分領域。這些章節有三個主要目的——首先,介紹行業的每個細分領域、其挑戰以及與該細分領域相關的機器學習應用。其次,幫助您掌握 AWS 機器學習堆疊中可用服務的特性,如 Amazon SageMaker 和 Amazon Comprehend Medical。第三,使您能夠應用新技能,創建一個以機器學習驅動的解決方案,以解決該細分領域特有的問題。結尾章節概述了未來的行業趨勢和應用。
在本書結束時,您將了解在醫療和生命科學行業應用人工智慧所面臨的主要挑戰,並學會如何自信地應對這些挑戰。
您將學到的內容:
- 探索醫療和生命科學行業
- 了解人工智慧在不同產業細分領域的主要應用
- 將人工智慧應用於醫療影像、臨床筆記和病人數據
- 發現安全性、隱私、公平性和可解釋性的最佳實踐
- 探索 AWS 機器學習堆疊及行業關鍵人工智慧服務
- 使用代碼和 AWS 服務開發實用的機器學習技能
- 了解行業的監管要求
本書適合誰:
本書專為技術決策者、數據科學家、機器學習工程師以及在醫療和生命科學組織中從事數據工程角色的任何人量身定制。無論您是想應用機器學習來克服醫療和生命科學行業中的常見挑戰,還是希望了解更廣泛的行業人工智慧趨勢和格局,本書都適合您。本書充滿了實用的範例,讓您在學習新的 AWS 人工智慧概念時可以實際操作。