找回密碼
 To register

QQ登錄

只需一步,快速開始

掃一掃,訪問微社區(qū)

打印 上一主題 下一主題

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

[復(fù)制鏈接]
查看: 45657|回復(fù): 44
樓主
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

書目名稱Machine Learning and AI for Healthcare影響因子(影響力)




書目名稱Machine Learning and AI for Healthcare影響因子(影響力)學(xué)科排名




書目名稱Machine Learning and AI for Healthcare網(wǎng)絡(luò)公開度




書目名稱Machine Learning and AI for Healthcare網(wǎng)絡(luò)公開度學(xué)科排名




書目名稱Machine Learning and AI for Healthcare被引頻次




書目名稱Machine Learning and AI for Healthcare被引頻次學(xué)科排名




書目名稱Machine Learning and AI for Healthcare年度引用




書目名稱Machine Learning and AI for Healthcare年度引用學(xué)科排名




書目名稱Machine Learning and AI for Healthcare讀者反饋




書目名稱Machine Learning and AI for Healthcare讀者反饋學(xué)科排名




單選投票, 共有 0 人參與投票
 

0票 0%

Perfect with Aesthetics

 

0票 0%

Better Implies Difficulty

 

0票 0%

Good and Satisfactory

 

0票 0%

Adverse Performance

 

0票 0%

Disdainful Garbage

您所在的用戶組沒有投票權(quán)限
沙發(fā)
發(fā)表于 2025-3-21 20:42:26 | 只看該作者
板凳
發(fā)表于 2025-3-22 02:54:55 | 只看該作者
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.
地板
發(fā)表于 2025-3-22 05:51:41 | 只看該作者
5#
發(fā)表于 2025-3-22 10:57:08 | 只看該作者
6#
發(fā)表于 2025-3-22 14:53:04 | 只看該作者
7#
發(fā)表于 2025-3-22 17:31:09 | 只看該作者
8#
發(fā)表于 2025-3-22 22:44:24 | 只看該作者
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.
9#
發(fā)表于 2025-3-23 03:47:56 | 只看該作者
10#
發(fā)表于 2025-3-23 06:27:48 | 只看該作者
 關(guān)于派博傳思  派博傳思旗下網(wǎng)站  友情鏈接
派博傳思介紹 公司地理位置 論文服務(wù)流程 影響因子官網(wǎng) 吾愛論文網(wǎng) 大講堂 北京大學(xué) Oxford Uni. Harvard Uni.
發(fā)展歷史沿革 期刊點評 投稿經(jīng)驗總結(jié) SCIENCEGARD IMPACTFACTOR 派博系數(shù) 清華大學(xué) Yale Uni. Stanford Uni.
QQ|Archiver|手機版|小黑屋| 派博傳思國際 ( 京公網(wǎng)安備110108008328) GMT+8, 2025-10-17 08:06
Copyright © 2001-2015 派博傳思   京公網(wǎng)安備110108008328 版權(quán)所有 All rights reserved
快速回復(fù) 返回頂部 返回列表
渭南市| 化州市| 霞浦县| 云梦县| 濮阳市| 高清| 鹤庆县| 裕民县| 延庆县| 广丰县| 安宁市| 江口县| 普定县| 灌阳县| 门头沟区| 图木舒克市| 南阳市| 古田县| 永安市| 武川县| 广平县| 武山县| 米林县| 长岛县| 盐山县| 五峰| 长沙市| 乐亭县| 荔浦县| 普兰县| 如东县| 民丰县| 济南市| 长白| 鄂伦春自治旗| 稷山县| 湖口县| 子洲县| 连州市| 介休市| 兴化市|