2. Machine learning: the art and science of algorithms that make sense of data Flach, Peter A, Cambridge ; Cambridge University Press, 2012 ADS410
3. Introduction to deep learning Charniak, Eugene, Cambridge, Massachusetts : The MIT Press, [2018] ADS460
4. Hands-on ensemble learning with python: build highly optimized ensemble machine learning models using scikit-learn and Keras Kyriakides, George, Birmingham ; Packt Publishing, 2019. DSA215
5. Neural networks and deep learning: a textbook Aggarwal, Charu C., Cham, Switzerland : Springer, [2018] ADS460
6. Python machine learning: machine learning and deep learning with Python, scikit-learn, and TensorFlow Raschka, Sebastian, Birmingham, UK : Packt Publishing, [2017]. DSA215
7. Fundamentals of Deep Learning: designing next-generation machine intelligence algorithms Buduma, Nithin. Sebastopol : O'Reilly Media, Incorporated, 2022. ADS460
8. The alignment problem: machine learning and human values Christian, Brian, 1984- New York, NY : W.W. Norton & Company, [2020] PSY205
9. Hands-on ensemble learning with python: build highly optimized ensemble machine learning models using scikit-learn and Keras Kyriakides, George, Birmingham ; Packt Publishing, 2019. DSA215 Click to View
10. Python for probability, statistics, and machine learning Unpingco, José, 1969- Cham : Springer, 2019 FIN443
