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検索キーワード:(件名: #Machine learning)
該当件数:91件
Probability and Statistics for Machine Learning : A Textbook / by Charu C. Aggarwal
1st ed. 2024.. - (Cham : Springer Nature Switzerland : Imprint: Springer , 2024)
電子ブック
Machine Learning Paradigms : Advances in Deep Learning-based Technological Applications / edited by George A. Tsihrintzis, Lakhmi C. Jain
1st ed. 2020.. - (Cham : Springer International Publishing : Imprint: Springer , 2020). - (Learning and Analytics in Intelligent Systems. ISSN:26623455 ; 18)
Black Box Optimization, Machine Learning, and No-Free Lunch Theorems / edited by Panos M. Pardalos, Varvara Rasskazova, Michael N. Vrahatis
1st ed. 2021.. - (Cham : Springer International Publishing : Imprint: Springer , 2021). - (Springer Optimization and Its Applications. ISSN:19316836 ; 170)
First-order and Stochastic Optimization Methods for Machine Learning / by Guanghui Lan
1st ed. 2020.. - (Cham : Springer International Publishing : Imprint: Springer , 2020). - (Springer Series in the Data Sciences. ISSN:23655682)
Reduction, Approximation, Machine Learning, Surrogates, Emulators and Simulators : RAMSES / edited by Gianluigi Rozza, Giovanni Stabile, Max Gunzburger, Marta D'Elia
1st ed. 2024.. - (Cham : Springer Nature Switzerland : Imprint: Springer , 2024). - (Lecture Notes in Computational Science and Engineering. ISSN:21977100 ; 151)
Cybersecurity in Digital Transformation : Scope and Applications / by Dietmar P.F. Möller
1st ed. 2020.. - (Cham : Springer International Publishing : Imprint: Springer , 2020). - (SpringerBriefs on Cyber Security Systems and Networks. ISSN:2522557X)
Deep Learning Architectures : A Mathematical Approach / by Ovidiu Calin
Algorithmic learning / Alan Hutchinson.
2. - Oxford, England : Clarendon Press , c1994.. - (Graduate texts in computer science ; 2). - (Oxford science publications)
図書
Generative Adversarial Networks for Image Generation / by Xudong Mao, Qing Li
1st ed. 2021.. - (Singapore : Springer Nature Singapore : Imprint: Springer , 2021)
Machine Learning in Elite Volleyball : Integrating Performance Analysis, Competition and Training Strategies / by Rabiu Muazu Musa, Anwar P. P. Abdul Majeed, Muhammad Zuhaili Suhaimi, Mohd Azraai Mohd Razman, Mohamad Razali Abdullah, Noor Azuan Abu Osman
1st ed. 2021.. - (Singapore : Springer Nature Singapore : Imprint: Springer , 2021). - (SpringerBriefs in Applied Sciences and Technology. ISSN:21915318)
Application of Machine Learning Models in Agricultural and Meteorological Sciences / by Mohammad Ehteram, Akram Seifi, Fatemeh Barzegari Banadkooki
1st ed. 2023.. - (Singapore : Springer Nature Singapore : Imprint: Springer , 2023)
Context-Aware Machine Learning and Mobile Data Analytics : Automated Rule-based Services with Intelligent Decision-Making / by Iqbal Sarker, Alan Colman, Jun Han, Paul Watters
1st ed. 2021.. - (Cham : Springer International Publishing : Imprint: Springer , 2021)
Machine Learning and Optimization for Engineering Design / edited by Apoorva S. Shastri, Kailash Shaw, Mangal Singh
1st ed. 2023.. - (Singapore : Springer Nature Singapore : Imprint: Springer , 2023). - (Engineering Optimization: Methods and Applications. ISSN:27314057)
Specialty Crops for Climate Change Adaptation : Strategies for Enhanced Food Security by Using Machine Learning and Artificial Intelligence / by Chandrasekar Vuppalapati
1st ed. 2023.. - (Cham : Springer Nature Switzerland : Imprint: Springer , 2023). - (STEAM-H: Science, Technology, Engineering, Agriculture, Mathematics & Health. ISSN:25201948)
Machine Learning for Authorship Attribution and Cyber Forensics / by Farkhund Iqbal, Mourad Debbabi, Benjamin C. M. Fung
1st ed. 2020.. - (Cham : Springer International Publishing : Imprint: Springer , 2020). - (International Series on Computer, Entertainment and Media Technology. ISSN:23649488)
Reinforcement Learning From Scratch : Understanding Current Approaches - with Examples in Java and Greenfoot / by Uwe Lorenz
1st ed. 2022.. - (Cham : Springer International Publishing : Imprint: Springer , 2022)
Data Analytics and Machine Learning : Navigating the Big Data Landscape / edited by Pushpa Singh, Asha Rani Mishra, Payal Garg
1st ed. 2024.. - (Singapore : Springer Nature Singapore : Imprint: Springer , 2024). - (Studies in Big Data. ISSN:21976511 ; 145)
The Beginner's Guide to Data Science / by Robert Ball, Brian Rague
Dimensionality Reduction in Data Science / edited by Max Garzon, Ching-Chi Yang, Deepak Venugopal, Nirman Kumar, Kalidas Jana, Lih-Yuan Deng
The Elements of Hawkes Processes / by Patrick J. Laub, Young Lee, Thomas Taimre