Suchergebnis

• Bayesian nonparametric statistics École d'Été de Probabilités de Saint-Flour LI - 2023 Castillo, Ismaël Cham, Switzerland : Springer, [2024], © 2024

• The birth of computer vision Dobson, James E. Minneapolis ; London : University of Minnesota Press, [2023] ; ©2023

• Deep learning foundations and concepts Bishop, Christopher M. ; Bishop, Hugh 1st ed. 2024, Cham : Springer, [2024] ; © 2024

• Deep reinforcement learning hands-on apply modern RL methods, with deep Q-networks, value iteration, policy gradients, TRPO, AlphaGo Zero and more Lapan, Maxim Birmingham ; Mumbai : Packt, June 2018

• The elements of statistical learning data mining, inference, and prediction Hastie, Trevor ; Tibshirani, Robert ; Friedman, Jerome H. 2. ed., corr. at 7. print., New York, NY : Springer, 2013

• The hundred-page machine learning book Burkov, Andriy ; Mac Namee, Brian [USA] : Publisher: Andriy Burkov, [2019] ; © 2019

• Learning from data a short course Abu-Mostafa, Yaser S. ; Magdon-Ismail, Malik ; Lin, Hsuan-Tien [S.l.] : AMLbook, 2012

• Low-Code AI A Practical Project-Driven Introduction to Machine Learning Stripling, Gwendolyne ; Abel, Michael First Edition, Sebastopol : O'Reilly Media, 2023

• Machine learning engineering Burkov, Andriy [Quebec City, Canada] : True Positive Inc., [2020] ; © 2020

• Machine learning for text Aggarwal, Charu C. Cham, Switzerland : Springer, 2018