Programming Projects in C for Students of Engineering, Science, and Mathematics 英文无水印原版pdf pdf所有页面使用FoxitReader、PDF-XChangeViewer、SumatraPDF和Firefox测试都可以打开 本资源转载自网络，如有侵权，请联系上传者或csdn删除 查看此书详细信息请在美国亚马逊官网搜索此书

Feature Engineering for Machine Learning_Principles and Techniques for Data Scientists(2018.03).A4

Feature Engineering for Machine Learning and Data Analytics (Chapman & Hall/CRC Data Mining and Knowledge Discovery Series) ISBN-10 书号: 1138744387 ISBN-13 书号: 9781138744387 Edition 版本: 1 出版日期: 2018-04-04 pages 页数: 418 Chapter 1 Preliminaries and Overview Guozhu Dong and Huan Liu Part I Feature Engineering for Various Data Types Chapter 2 Feature Engineering for Text Data Chase Geigle, Qiaozhu Mei, and ChengXiang Zhai Chapter 3 Feature Extraction and Learning for Visual Data Parag S. Chandakkar, Ragav Venkatesan, and Baoxin Li Chapter 4 Feature-Based Time-Series Analysis Ben D. Fulcher Chapter 5 Feature Engineering for Data Streams Yao Ma, Jiliang Tang, and Charu Aggarwal Chapter 6 Feature Generation and Feature Engineering for Sequences Guozhu Dong, Lei Duan, Jyrki Nummenmaa, and Peng Zhang Chapter 7 Feature Generation for Graphs and NetworksYuan Yao, Hanghang Tong, Feng Xu, and Jian Lu Part lI General Feature Engineering Techniques Chapter 8 Feature Selection and Evaluation Yun Li and Tao Li Chapter 9 Automating Feature Engineering in Supervised Learning Udayan Khurana Chapter 10 Pattern-Based Feature Generation Yunzhe Jia, James Bailey, Ramamohanarao Kotagiri, and Christopher Leckie Chapter 11 Deep Learning for Feature Representation Suhang Wang and Huan Liu Part ll Feature Engineering in Special Applications Chapter 12 Feature Engineering for Social Bot Detection Onur Varol, Clayton A. Davis, Filippo Menczer, and Alessandro Flammini Chapter 13 Feature Generation and Engineering for Software Analytics Xin Xia and David Lo Chapter 14 Feature Engineering for Twitter-Based Applications Sanjaya Wijeratne, Amit Sheth, Shreyansh Bhatt, Lakshika Balasuriya, Hussein S. Al-Olimat, Manas Gaur, Amir Hossein Yazdavar, Krishnaprasad Thirunarayan Index

Software.Engineering_A.Practitioner's. Approach,8th.Edition，英文版，非扫描版 软件工程 实践者的研究方法 第8版 英文版，含目录 超清文字版 非扫描版 完整pdf 文字，图都超清晰，书本文字内容可选定复制

An.Introduction.to.Microelectromechanical.Systems.Engineering 英文版pdf mems经典

注意：此版本仅适用于MATLAB版本R2018b。 对于 MATLAB R2018a，请在此处使用此文件： https://www.mathworks.com/matlabcentral/fileexchange/66568-arduino_engineering_kit_hardware_support 对于 MATLAB R2019a 及更高版本，请在此处使用此文件： https://www.mathworks.com/matlabcentral/fileexchange/70554-arduino_engineering_kit_hardware_support_19a 该软件包包括 MATLAB 和 Simulink 文件，允许用户与 Arduino 工程套件中使用的传感器和执行器进行通信并对其进行控制，其中大部分通过 MKR Motor Carrier 连接。 这包括：

基于javaSE的二手车交易系统 JUST software engineering Project_1 2021.12

凸优化方面的经典著作 Here　is　a　book　devoted　to　well-structured　and　thus　efficiently　solvable　convex　optimization　problems,　with　emphasis　on　conic　quadratic　and　semidefinite　programming.　The　authors　present　the　basic　theory　underlying　these　problems　as　well　as　their　numerous　applications　in　engineering,　including　synthesis　of　filters,　Lyapunov　stability　analysis,　and　structural　design.　The　authors　also　discuss　the　complexity　issues　and　provide　an　overview　of　the　basic　theory　of　state-of-the-art　polynomial　time　interior　point　methods　for　linear,　conic　quadratic,　and　semidefinite　programming.　The　book's　focus　on　well-structured　convex　problems　in　conic　form　allows　for　unified　theoretical　and　algorithmical　treatment　of　a　wide　spectrum　of　important　optimization　problems　arising　in　applications.

Microwave Engineering 4ed_Wiley_2012

Microwave Engineering (3rd Edtion)《微波工程》D.M.Pozar英文原版part3(共3部分) 中文版的错漏不少，可以参考英文原版。 仅供对照，版权归原作者所有。