نتایج جستجو
برای The Learning Express Editors، صفحه ۴۸۷ از ۵۹۸ در بین ۱۴,۹۳۴ کتاب.
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Telemedicine Technologies: Big Data, Deep Learning, Robotics, Mobile and Remote Applications for Global Healthcare
Hemanth D. Jude (editor), 2019PDF
Data Mining and Machine Learning: Fundamental Concepts and Algorithms
Mohammed J. Zaki, Wagner MeiraJr, 2020EPUB
Deep Learning in Computer Vision: Principles and Applications
Mahmoud Hassaballah; Ali Ismail Awad, 2020PDF
Deep Learning in Computer Vision: Principles and Applications
Mahmoud Hassaballah (editor), Ali Ismail Awad (editor), 2020
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Practical Machine Learning in R
Fred Nwanganga, Mike Chapple, 2020PDF
Deep Learning Applications
M. Arif Wani (editor), Mehmed Kantardzic (editor), Moamar Sayed-Mouchaweh (editor), 2020PDF
Deep Learning Techniques for Biomedical and Health Informatics
Basant Agarwal (editor), Valentina Emilia Balas (editor), Lakhmi C. Jain (editor), Ramesh Chandra Poonia (editor), Manisha Sharma (editor), 2020PDF
Machine Learning With Python For Everyone
Mark E. Fenner, 2020PDF
Reinforcement Learning-enabled Intelligent Energy Management for Hybrid Electric Vehicles
Teng Liu, Amir Khajepour (editor), 2019PDF
Statistical Modelling and Machine Learning Principles for Bioinformatics Techniques, Tools, and Applications
K. G. Srinivasa (editor), G. M. Siddesh (editor), S. R. Manisekhar (editor), 2020PDF
Brain and Nature-inspired Learning, Computation and Recognition
Licheng Jiao, Ronghua Shang, Fang Liu, Weitong Zhang, 2020PDF
Computational Texture and Patterns: From Textons to Deep Learning (Synthesis Lectures on Computer Vision)
Sven Dickinson (editor), Gerard Medioni (editor), Kristin J. Dana, 2018EPUB
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Machine Learning: A Bayesian and Optimization Perspective
Sergios Theodoridis, 2020PDF
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Multimodal Learning Toward Micro-video Understanding
Liqiang Nie, Meng Liu, Xuemeng Song, 2019PDF
Text Mining with Machine Learning: Principles and Techniques
Jan Zizka, Czech Republic) Darena, Frantisek (Mendel University, Czech Republic) Svoboda, Arnost (Masarytk University, 2019PDF
Supervised Machine Learning in Wind Forecasting and Ramp Event Prediction (Wind Energy Engineering)
Harsh S. Dhiman, Dipankar Deb, Valentina Emilia Balas, 2020PDF
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Ivezic, Ž ; Statistics, Data Mining, and Machine Learning in (Princeton Series in Modern Observational Astronomy)
Željko Ivezić, Andrew J. Connolly, Jacob T. Vanderplas, Alexander Gray, 2019PDF
Learning-Based Adaptive Control: An Extremum Seeking Approach - Theory and Applications
Mouhacine Benosman, 2016PDF
Mathematics for Machine Learning
Marc Peter Deisenroth; A Aldo Faisal; Cheng Soon Ong, 2020PDF
