1.

図書
図書
1. Computational Methods for Deep Learning : Theoretic, Practice and Applications. 1st ed.
Wei Qi Yani
出版情報: Cham : Springer, 2021
シリーズ名: Texts in computer science
2.

図書
図書
2. Machine learning with Python for everyone
Mark E. Fenner
出版情報: Boston : Addison-Wesley, c2020
シリーズ名: Addison Wesley data & analytics series
3.

図書
図書
3. Machine learning with R : expert techniques for predictive modeling. 3rd ed
Brett Lantz
出版情報: Birmingham, U.K. : Packt Publishing, 2019
シリーズ名: Expert insight
4.

図書
図書
4. Deep learning pipeline : building a deep learning model with tensorflow : Hisham El-Amir; Mahmoud Hamdy
El-Amir, Hisham ; Hamdy, Mahmoud
出版情報: [New York] : Apress , New York : Springer Science+Business Media [distributor], c2020
シリーズ名: Books for professionals by professionals
5.

図書
図書
5. Codes : an introduction to information communication and cryptography
Norman L. Biggs
出版情報: London : Springer, c2008
シリーズ名: Springer undergraduate mathematics series
6.

図書
図書
6. Deep learning architectures : a mathematical approach
Ovidiu Calin
出版情報: Cham : Springer, c2020
シリーズ名: Springer series in the data sciences
7.

図書
図書
7. Artificial intelligence : a textbook
Charu C. Aggarwal
出版情報: Cham : Springer, c2021
8.

図書
図書
8. Hands-On Quantum Machine Learning With PythonGet started
Frank Zickert
出版情報: [S.l.] : PyQML, 2021
9.

図書
図書
9. Machine learning
Zhi-Hua Zhou ; translated by Shaowu Liu
出版情報: Singapore : Springer, c2021
10.

図書
図書
10. Machine learning. Supervised learning techniques :Time series forecasting. Examples with neural networks and MATLAB
César Pérez López
出版情報: [Japan] : [Amazon], [20--]