Bibliography for Machine Learning (CMP9137M) BETA

1.

Bishop, C. M.: Pattern recognition and machine learning. Springer, Oxford (2006).

2.

Marsland, S.: Machine learning: an algorithmic perspective. Chapman & Hall/CRC, Boca Raton, FL (2014).

3.

Mitchell, Tom M.: Machine learning. McGraw-Hill, new York (1997).

4.

Shukla, N., Fricklas, K.: Machine learning with TensorFlow. Manning Publications, Shelter Island, NY (2018).

5.

Rogers, S., Girolami, M.: A first course in machine learning. CRC Press, Boca Raton (2017).

6.

Alpaydin, E.: Introduction to machine learning. The MIT Press, Cambridge, Massachusetts (2014).

7.

Sutton, Richard S., Barto, Andrew G.: Reinforcement learning: an introduction. MIT Press, Cambridge, Mass (1998).

8.

Goodfellow, I., Bengio, Y., Courville, A.: Deep learning. The MIT Press, Cambridge, Massachusetts (2016).

9.

Chollet, F.: Deep learning with Python. Manning, Shelter Island, NY (2018).

10.

Taylor, K.: Deep learning using MATLAB: neural network applications. [Createspace Independent Publishing Platform] (2017).

11.

Deep Learning, http://www.deeplearningbook.org/.

12.

IEEE Transactions on Pattern Analysis and Machine Intelligenc.

13.

The Journal of Machine Learning Research (JMLR).

14.

IEEE Transactions on Neural Networks and Learning Systems.