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.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:
AI and ML community for sharing ML models and datasets:
What's next
Continue your ML education by exploring other courses at developers.google.com/machine-learning.