Alpaydin, Ethem. 2014. Introduction to Machine Learning. Vol. Adaptive computation and machine learning. Third edition. Cambridge, Massachusetts: The MIT Press.
Anon. n.d.-a. ‘Deep Learning’. Retrieved (http://www.deeplearningbook.org/).
Anon. n.d.-b. ‘IEEE Transactions on Neural Networks and Learning Systems’.
Anon. n.d.-c. ‘IEEE Transactions on Pattern Analysis and Machine Intelligenc’.
Anon. n.d.-d. ‘The Journal of Machine Learning Research (JMLR)’.
Bishop, C. M. 2006. Pattern Recognition and Machine Learning. Vol. Information science and statistics. Oxford: Springer.
Chollet, François. 2018. Deep Learning with Python. Shelter Island, NY: Manning.
Goodfellow, Ian, Yoshua Bengio, and Aaron Courville. 2016. Deep Learning. Vol. Adaptive computation and machine learning. Cambridge, Massachusetts: The MIT Press.
Marsland, Stephen. 2014. Machine Learning: An Algorithmic Perspective. Vol. Chapman&Hall/CRC machine learning&pattern recognition series. Second edition. Boca Raton, FL: Chapman & Hall/CRC.
Mitchell, Tom M. 1997. Machine Learning. Vol. McGraw-Hill series in computer science. International ed. new York: McGraw-Hill.
Rogers, Simon, and Mark Girolami. 2017. A First Course in Machine Learning. Second edition. Boca Raton: CRC Press.
Shukla, Nishant, and Kenneth Fricklas. 2018. Machine Learning with TensorFlow. Shelter Island, NY: Manning Publications.
Sutton, Richard S. and Barto, Andrew G. 1998. Reinforcement Learning: An Introduction. Vol. Adaptive computation and machine learning. Cambridge, Mass: MIT Press.
Taylor, K. 2017. Deep Learning Using MATLAB: Neural Network Applications. [Createspace Independent Publishing Platform].