نتایج جستجو
Deep Learning in Computer Vision: Principles and Applications
Mahmoud Hassaballah (editor), Ali Ismail Awad (editor), 2020
Practical Machine Learning in R
Fred Nwanganga, Mike Chapple, 2020
Deep Learning Applications
M. Arif Wani (editor), Mehmed Kantardzic (editor), Moamar Sayed-Mouchaweh (editor), 2020
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), 2020
Machine Learning With Python For Everyone
Mark E. Fenner, 2020
Reinforcement Learning-enabled Intelligent Energy Management for Hybrid Electric Vehicles
Teng Liu, Amir Khajepour (editor), 2019
Statistical Modelling and Machine Learning Principles for Bioinformatics Techniques, Tools, and Applications
K. G. Srinivasa (editor), G. M. Siddesh (editor), S. R. Manisekhar (editor), 2020
Brain and Nature-inspired Learning, Computation and Recognition
Licheng Jiao, Ronghua Shang, Fang Liu, Weitong Zhang, 2020
Computational Texture and Patterns: From Textons to Deep Learning (Synthesis Lectures on Computer Vision)
Sven Dickinson (editor), Gerard Medioni (editor), Kristin J. Dana, 2018
Machine Learning: A Bayesian and Optimization Perspective
Sergios Theodoridis, 2020
Multimodal Learning Toward Micro-video Understanding
Liqiang Nie, Meng Liu, Xuemeng Song, 2019
Text Mining with Machine Learning: Principles and Techniques
Jan Zizka, Czech Republic) Darena, Frantisek (Mendel University, Czech Republic) Svoboda, Arnost (Masarytk University, 2019
Supervised Machine Learning in Wind Forecasting and Ramp Event Prediction (Wind Energy Engineering)
Harsh S. Dhiman, Dipankar Deb, Valentina Emilia Balas, 2020
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, 2019
Learning-Based Adaptive Control: An Extremum Seeking Approach - Theory and Applications
Mouhacine Benosman, 2016
Mathematics for Machine Learning
Marc Peter Deisenroth; A Aldo Faisal; Cheng Soon Ong, 2020
The Probabilistic Foundations of Rational Learning
Simon M Huttegger, 2017
Introduction to Algorithms for Data Mining and Machine Learning
Xin-She Yang, 2019
Multimodal Scene Understanding: Algorithms, Applications and Deep Learning
Michael Ying Yang (editor), Bodo Rosenhahn (editor), Vittorio Murino (editor), 2019
