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 Crash Course for Engineers; Eklas Hossain Textbook 2024 The Editor(s) (if applicable) and The Author(s), under exclusive

[復(fù)制鏈接]
查看: 33784|回復(fù): 37
樓主
發(fā)表于 2025-3-21 18:49:40 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
書目名稱Machine Learning Crash Course for Engineers
編輯Eklas Hossain
視頻videohttp://file.papertrans.cn/621/620396/620396.mp4
概述A concise guide to the basics of algorithms, building models, and performance evaluation.Offers highly illustrated, step-by-step guidelines with Python programming examples.Provides examples and exerc
圖書封面Titlebook: Machine Learning Crash Course for Engineers;  Eklas Hossain Textbook 2024 The Editor(s) (if applicable) and The Author(s), under exclusive
描述.?Machine Learning Crash Course for Engineers .is a reader-friendly introductory guide to machine learning algorithms and techniques for students, engineers, and other busy technical professionals. The book focuses on the application aspects of machine learning, progressing from the basics to advanced topics systematically from theory to applications and worked-out Python programming examples. It offers highly illustrated, step-by-step demonstrations that allow readers to implement machine learning models to solve real-world problems. This powerful tutorial is an excellent resource for those who need to acquire a solid foundational understanding of machine learning quickly.
出版日期Textbook 2024
關(guān)鍵詞Application of machine learning; Supervised learning; Unsupervised learning; Machine learning; Signal pr
版次1
doihttps://doi.org/10.1007/978-3-031-46990-9
isbn_softcover978-3-031-46992-3
isbn_ebook978-3-031-46990-9
copyrightThe Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl
The information of publication is updating

書目名稱Machine Learning Crash Course for Engineers影響因子(影響力)




書目名稱Machine Learning Crash Course for Engineers影響因子(影響力)學(xué)科排名




書目名稱Machine Learning Crash Course for Engineers網(wǎng)絡(luò)公開度




書目名稱Machine Learning Crash Course for Engineers網(wǎng)絡(luò)公開度學(xué)科排名




書目名稱Machine Learning Crash Course for Engineers被引頻次




書目名稱Machine Learning Crash Course for Engineers被引頻次學(xué)科排名




書目名稱Machine Learning Crash Course for Engineers年度引用




書目名稱Machine Learning Crash Course for Engineers年度引用學(xué)科排名




書目名稱Machine Learning Crash Course for Engineers讀者反饋




書目名稱Machine Learning Crash Course for Engineers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 21:13:07 | 只看該作者
Applications of Machine Learning: Energy Systems,rol and power factor correction. By the end of this chapter, the readers will know about the multifaceted applications of machine learning in energy systems; especially electrical engineering students, researchers, and professionals will find it very useful in their practical lives.
板凳
發(fā)表于 2025-3-22 00:49:02 | 只看該作者
地板
發(fā)表于 2025-3-22 04:35:25 | 只看該作者
5#
發(fā)表于 2025-3-22 12:08:59 | 只看該作者
with Python programming examples.Provides examples and exerc.?Machine Learning Crash Course for Engineers .is a reader-friendly introductory guide to machine learning algorithms and techniques for students, engineers, and other busy technical professionals. The book focuses on the application aspect
6#
發(fā)表于 2025-3-22 13:33:35 | 只看該作者
Textbook 2024ineers, and other busy technical professionals. The book focuses on the application aspects of machine learning, progressing from the basics to advanced topics systematically from theory to applications and worked-out Python programming examples. It offers highly illustrated, step-by-step demonstrat
7#
發(fā)表于 2025-3-22 18:03:29 | 只看該作者
mples. It offers highly illustrated, step-by-step demonstrations that allow readers to implement machine learning models to solve real-world problems. This powerful tutorial is an excellent resource for those who need to acquire a solid foundational understanding of machine learning quickly.978-3-031-46992-3978-3-031-46990-9
8#
發(fā)表于 2025-3-22 22:42:34 | 只看該作者
9#
發(fā)表于 2025-3-23 01:50:53 | 只看該作者
10#
發(fā)表于 2025-3-23 06:06:29 | 只看該作者
Applications of Machine Learning: Signal Processing,e processing is introduced with its workflow, applications, challenges, and implementation. By the end of this chapter, the readers will have a lot of exposure to machine learning applications in signal processing and be able to use them in real life.
 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(diǎn)評(píng) 投稿經(jīng)驗(yàn)總結(jié) SCIENCEGARD IMPACTFACTOR 派博系數(shù) 清華大學(xué) Yale Uni. Stanford Uni.
QQ|Archiver|手機(jī)版|小黑屋| 派博傳思國際 ( 京公網(wǎng)安備110108008328) GMT+8, 2025-10-19 18:32
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
石城县| 汾西县| 鄯善县| 荥阳市| 湄潭县| 曲麻莱县| 阳原县| 兰坪| 筠连县| 南陵县| 沂水县| 沭阳县| 九龙县| 景谷| 伊宁市| 故城县| 沾化县| 郧西县| 四会市| 湘潭市| 永顺县| 辰溪县| 长寿区| 浪卡子县| 墨竹工卡县| 安西县| 杂多县| 巨野县| 承德县| 清新县| 辉南县| 平安县| 始兴县| 固镇县| 崇州市| 永清县| 榆树市| 泾源县| 中西区| 南涧| 滦南县|