This chapter brings us to the end of our journey of reviewing machine learning in Java libraries and discussing how to leverage them to solve real-life problems. However, this should not be the end of your journey by all means. This chapter will give you some practical advice on how to start deploying your models in the real world, what are the catches, and where to go to deepen your knowledge. It also gives you further pointers about where to find additional resources, materials, venues, and technologies to dive deeper into machine learning.

This chapter will cover the following topics:

• Important aspects of machine learning in real life
• Standards and markup languages
• Machine learning in the cloud
• Web resources and competitions