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Fundamentals and Methods of Machine and Deep Learning: Algorithms, Tools, and Applications
Wiley-Scrivener; 1st edition (25 Feb. 2022) | English | 9781119821250
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标签：Algorithms 第100页
Beyond the Worst-Case Analysis of Algorithms
Cambridge University ; 1st edition (February 25,2021) | English | 9781108494311
Data Analytics, Computational Statistics, and Operations Research for Engineers: Methodologies and Applications
CRC ; 1st edition (25 Mar. 2022) | English | 9780367715113
Algorithms: Design Techniques and Analysis, 2nd Edition
WSPC; Second edition (8 Nov. 2021) | English | 9789811238642
Network Connectivity: Concepts, Computation, and Optimization
Morgan & Claypool (January 26, 2022) | English | 9781636392950
Machine Learning Algorithms for Data Scientists: An Overview
Vinaitheerthan Renganathan (4 Jun. 2021) | English | 9789354737695
Artificial Intelligence-Aided Materials Design: AI-Algorithms and Case Studies on Alloys and Metallurgical Processes
CRC ; 1st edition (February 17, 2022) | English | 9780367765279
Hands-on Supervised Learning with Python: Learn How to Solve Machine Learning Problems with Supervised Learning Algorithms Using Python
BPB (November 26,2020) | English | 9789389328974
Swarm Intelligence Volume 3: Applications
Institution of Engineering and Technology; Illustrated edition (30 Nov. 2018) | English | 9781785616310
Edge Learning for Distributed Big Data Analytics: Theory,Algorithms,and System Design
Cambridge University (January 31,2022) | English | 9781108832373