FURTHER READING

MACHINE LEARNING

Chalmers, D. (1996) The Conscious Mind in Search of a Fundamental Theory. New York: Oxford University Press.

Daugherty, P.R. and Wilson, H.J. (2018) Human + Machine: Reimagining Work in the Age of AI. Boston, MA: Harvard Business Review Press.

Frankish, K. and Ramsey, W. (2014) The Cambridge Handbook of Artificial Intelligence. Cambridge: Cambridge University Press.

Géron, A. (2019) Hands-On Machine Learning with Scikit-Learn, Keras and TensorFlow: Concepts, Tools, and Techniques to Build Intelligent Systems, 2nd edn. Sebastopol, CA: O’Reilly Media.

Ghallab, M., Nau, D. and Traverso, P. (2004) Automated Planning: Theory and Practice. San Francisco, CA: Elsevier.

Kurzweil, R. (2005) The Singularity is Near: When Humans Transcend Biology. London: Duckworth Overlook.

Mitchell, T.M. (1997) Machine Learning, International edn. Singapore: McGraw Hill Education.

Murphy, K.P. (2012) Machine Learning: A Probabilistic Perspective. Cambridge, MA: MIT Press.

Rouhiainen, L. (2018) Artificial Intelligence: 101 Things You Must Know Today About Our Future. CreateSpace Independent Publishing Platform.

Russell, S. and Norvig, P. (2016) Artificial Intelligence: A Modern Approach, Global edn. Harlow: Pearson Education Ltd.

Schwab, K. (2016) The Fourth Industrial Revolution. London: Penguin Random House.

Tegmark, M. (2017) Life 3.0: Being Human in the Age of Artificial Intelligence. London: Penguin Books.

Theobald, O. (2017) Machine Learning for Absolute Beginners: A Plain English Introduction. Scatterplot Press.

ADVANCED THEORETICAL TEXT

Shalev-Shwartz, S. and Ben-David, S. (2014) Understanding Machine Learning: From Theory to Algorithms. New York: Cambridge University Press.

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