Python Machine Learning - Second Edition

Chapter and book summary

We hope you enjoyed this last chapter of Python Machine Learning and our exciting tour of machine learning and deep learning. Through the journey of this book, we've covered the essential topics that this field has to offer, and you should now be well equipped to put those techniques into action to solve real-world problems.

We started our journey with a brief overview of the different types of learning tasks: supervised learning, reinforcement learning, and unsupervised learning. We then discussed several different learning algorithms that you can use for classification, starting with simple single-layer neural networks in Chapter 2, Training Simple Machine Learning Algorithms for Classification.

We continued to discuss ...