Artificial Intelligence/Machine Learning APIs

A Machine Learning API interprets data, identifies patterns, and makes predictive decisions based on extracted information. Acting as an intermediary between user queries and predictive answers, these APIs tap into data and send solutions to applications.

Machine Learning APIs

About Machine Learning

Machine learning is a type of artificial intelligence whereby machines take data and interpret it, find patterns, and make predictive decisions based on what they can deduce from the information extracted.

What is a Machine Learning API?

A machine learning API taps into data and pulls predictive answers, which are then sent to the user’s application. Thus, the API is the intermediary between the question and the solution.

How does a Machine Learning API work?

The most prominent cloud-based machine learning solutions are Amazon Web Services (AWS), Google, IBM, Microsoft, and Salesforce. One may think that a machine learning API is more complicated than other types of APIs; however, many are built using the REpresentation State Transfer (REST) architecture type. First, developers connect their chosen service’s API with their application. The API then becomes the highway linking the questions posed by the application’s users to the learned answers provided by the server on the other end.

Who can benefit from Machine Learning APIs?

The use cases for machine learning are limited only to imagination, as are their APIs. Some real-world applications include:

  • Banks preventing fraud and obtaining insights into financial trends
  • Governments working to minimize costs
  • Agencies fighting identity theft through facial recognition and other technology
  • Websites analyzing traffic and user progression through heat maps
  • Retailers capturing data to analyze and then personalize the shopping experience
  • Wearable devices monitoring a patient’s health
  • Predicting future traffic problems in the transportation industry to minimize cost

Even people who know nothing about this tech have likely benefited from it, such as translating a phrase into another language using Google or taking a picture of a statue to learn more about it or buy a figurine of it.

Why are Machine Learning APIs necessary?

Machine learning has evolved rapidly over the past ten years and continues to do so. The technology is behind everything from AI chatbots in customer service to self-driving cars. The APIs help power unique applications that bring the power of machine learning into consumer’s hands, allow companies to monitor every portion of their business, and much more.

What can you expect from a Machine Learning API?

The power of machine learning is vast, and the use cases are many. Therefore, developers should ensure that the API they choose is connected securely to the correct machine serving up the data predictions they require for their app.

Are there examples of free Machine Learning APIs?

  1. Paraphrasing Tool
  2. Text Summarization
  3. Google AI Vision
  4. GPT Summarization
  5. AI Picture Colorizer
  6. Language Translation
  7. OOPSpam Spam Filter
  8. RoboMatic AI
  9. TLDR This
  10. Pronunciation Assessment

Machine Learning API SDKs

All Machine Learning APIs are supported and made available in multiple developer programming languages and SDKs including:

  1. Node.js
  2. PHP
  3. Python
  4. Ruby
  5. Objective-C
  6. Java (Android)
  7. C# (.NET)
  8. cURL

Just select your preference from any API endpoints page.

Sign up today for free on RapidAPI to begin using Machine Learning APIs!