Bibliography for Machine Learning (CMP9137M) BETA

1

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

2

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

3

Mitchell, Tom M. Machine learning. International ed. new York: : McGraw-Hill 1997.

4

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

5

Rogers S, Girolami M. A first course in machine learning. Second edition. Boca Raton: : CRC Press 2017. https://www.vlebooks.com/vleweb/product/openreader?id=UniLincoln&isbn=9781315382159

6

Alpaydin E. Introduction to machine learning. Third edition. Cambridge, Massachusetts: : The MIT Press 2014.

7

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

8

Goodfellow I, Bengio Y, Courville A. Deep learning. Cambridge, Massachusetts: : The MIT Press 2016. https://ebookcentral-proquest-com.proxy.library.lincoln.ac.uk/lib/ulinc/detail.action?docID=6287197

9

Chollet F. Deep learning with Python. Shelter Island, NY: : Manning 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. http://ieeexplore.ieee.org.proxy.library.lincoln.ac.uk/xpl/RecentIssue.jsp?punumber=34

13

The Journal of Machine Learning Research (JMLR). https://go.openathens.net/redirector/lincoln.ac.uk?url=https%3A%2F%2Fdl.acm.org%2Fjournal%2Fjmlr

14

IEEE Transactions on Neural Networks and Learning Systems. http://ieeexplore.ieee.org.proxy.library.lincoln.ac.uk/xpl/RecentIssue.jsp?punumber=5962385