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1. Fundamentals of Deep Learning: designing next-generation machine intelligence algorithms

Buduma, Nithin.

Sebastopol : O'Reilly Media, Incorporated, 2022.

ADS460

2. The alignment problem: machine learning and human values

Christian, Brian, 1984-

New York, NY : W.W. Norton & Company, [2020]

PSY205

3. Hands-on machine learning with Scikit-Learn, Keras, and TensorFlow: concepts, tools, and techniques to build intelligent systems

Géron, Aurélien,

Sebastopol, CA : O'Reilly Media, Inc., 2019.

DSA215

4. Python for probability, statistics, and machine learning

Unpingco, José, 1969-

Cham : Springer, 2019

FIN443

5. Building intelligent systems: a guide to machine learning engineering

Hulten, Geoff,

©2018

DSA215

6. Data science

Kelleher, John D., 1974-

Cambridge, Massachusetts : The MIT Press, [2018]

ADS100

7. Introduction to deep learning

Charniak, Eugene,

Cambridge, Massachusetts : The MIT Press, [2018]

ADS460

8. Neural networks and deep learning: a textbook

Aggarwal, Charu C.,

Cham, Switzerland : Springer, [2018]

ADS460

9. Python machine learning: machine learning and deep learning with Python, scikit-learn, and TensorFlow

Raschka, Sebastian,

Birmingham, UK : Packt Publishing, [2017].

DSA215

10. Deep learning

Goodfellow, Ian,

Cambridge, Massachusetts : The MIT Press, [2016]

ADS460