Further reading

To learn more about the topics that were covered in this chapter, take a look at the following resources:

• Definitions:
  • Igual, L. and Seguí, S. (2017). Introduction to data science: A python approach to concepts, techniques and applications. Springer.
  • Ertel, W. (2018). Introduction to artificial intelligence. Springer.
  • Skansi, S. (2018). Introduction to deep learning: From logical calculus to artificial intelligence. Springer.
  • Ian Goodfellow, Yoshua Bengio, and Aaron Courville. (2016). Deep Learning. Available at https://www.deeplearningbook.org/.
  • Chollet, F. (2017). Deep Learning with Python. Manning Publications.
  • Müller, A. C. and Guido, S. (2016). Introduction to Machine Learning with Python: A guide for data scientists. O’Reilly Media.
  • VanderPlas, J. (n.d.). What Is Machine Learning? Pythonic Perambulations. Available at https://jakevdp.github.io/PythonDataScienceHandbook/05.01-what-is-machine-learning.html.
  • What is Deep Learning?: https://machinelearningmastery...