Going further

The focus of this book has been on giving you the tools necessary to get a quick introduction to the field of streaming analytics and has relatively quickly moved on to online machine learning algorithms for data science.

If you want to go further in streaming analytics, there are generally two directions in which you could start your journey: depth-first or breadth-first.

The depth-first approach consists of going even more in depth into online machine learning than the current book has been able to do. Although you should now have a solid basis in online machine learning, there is always more to learn. A number of useful resources for this follow:

• Keeping up with the general field of machine learning on the scientific side:
  • https://paperswithcode.com/
  • https://arxiv.org/list/stat.ML/recent
• Keeping up with a lot of practitioners that love sharing what they do:
  • https://towardsdatascience.com/
  • https://neptune.ai/blog
  • https://www.kdnuggets.com/
• Follow influential...