What is a machine learning API?

They cater to the needs of developers/businesses that do not have expertise in ML, who want to implement ML in their processes or product suites. Popular examples of machine learning APIs suited explicitly for web development stuff are DialogFlow, Microsoft's Cognitive Toolkit, TensorFlow.js, etc.

What is API in data science & machine learning?

API (Application Programming Interface) is an agent or mechanism that allows applications or servers to interact and share data. These datasets are later used by developers or data scientists to extract meaning or find hidden complex patterns. In data science and machine learning, APIs are mainly used for data gathering and model deployment.

Are Apis the future of machine learning?

The future looks even brighter for APIs. According to Gartner, ³, we can expect a substantial increase in machine learning applications powered by APIs by 2024, confirming their indispensable role in advancing technology.