# Next steps

The [Recipes](</latest/recipes/reading-data>) section is made up of small tutorials. Each one explains how to perform mundane tasks, such as measuring the performance of a model, selecting hyperparameters, etc.

The [Examples](</latest/examples/batch-to-online>) section contains more involved notebooks with less explanations. Each notebook addresses a particular machine learning problem.

The [API](</latest/api>) section references all the modules, classes, and functions in River. It is automatically generated from the codebase's Python docstrings.

Feel welcome to [open a discussion](<https://github.com/online-ml/river/discussions>) if you have a question. Before that you can check out the [FAQ](</latest/faq>), which has answers to recurring questions.

The released versions are listed in the [Releases](</latest/releases>) section. Changes that will be part of the next release are listed in the unreleased section of the documentation's development version, which you may find [here](<https://riverml.xyz/latest/releases/unreleased/>).

We recommend checking out [Awesome Online Machine Learning](<https://github.com/online-ml/awesome-online-machine-learning>) if you want to go deeper. There you will find online machine learning related content: research papers, alternative and complementary software, blog posts, etc.