# ML resources

ML development requires using a variety of constantly
evolving tools and frameworks. New ML tools continue to emerge as ways to handle
complex data types, advances in hardware, and techniques for orchestrating
pipelines continue to develop.
As a result, companies, organizations, and teams implement ML solutions using different tools and frameworks, which likely change over time.

<br />

While common frameworks and best practices are emerging, keep in mind that the
nature of your particular problem might require custom solutions in certain
cases. The following sections provide links to resources for getting started
with ML and AI development.

- Tools and frameworks for building ML and AI applications and products:

  - [developers.google.com/focus/ai-development](https://developers.google.com/focus/ai-development)
  - [ai.google/build](https://ai.google/build)
- AI and ML community for sharing ML models and datasets:

  - [Kaggle](https://kaggle.com)

## What's next

Continue your ML education by exploring other courses at
[developers.google.com/machine-learning](https://developers.google.com/machine-learning/).