With Machine Learning APIs, you can benefit from the power of data science. Here are 3 Machine Learning APIs your business should start using!

3 Awesome Machine Learning APIs For Your Business

Machine Learning is a part of Artificial Intelligence. It's all about programming computers so that they can learn, act and evolve. For example, when you mark an email as spam, your email "evolves": it flags all similar emails as spam. 

APIs, or Application Programming Interfaces, allow applications to relate with one another and share information. For example, your preferred weather app takes the information from Weather Underground and shows it to you with cool graphs.

But what happens when you put these two together? 

 Machine Learning APIs are the future of everything. Every day there are more and better applications based on machine learning. And this means their APIs are evolving with them.

With Machine Learning APIs, you and your business can benefit from the power of data science within a short timeframe while keeping costs low.

Here are some of our favorite examples of Machine Learning APIs.


Facial Recognition: Kairos API

Kairos is a facial recognition API. They offer detection and identification based on landmarks such as eyes, nose, and mouth. They even offer more advanced algorithms that allow you to analyze a variety of human emotions.


Text Analysis: Google Cloud Natural Language API

Google's Cloud Natural Language API is a must for natural language processing. You can take any unstructured text and derive insights from it. 

With this API you can find the meaning of a text, extract information about people, places, and events mentioned in it, and even analyze the sentiments behind it.


Predictive Modeling: Amazon Machine Learning

Amazon Machine Learning is a predictive analytics service. It covers several areas, such as forecasting demands, targeted marketing, click prediction and fraud detection. 

This API offers a simple workflow, perfect for small businesses wanting to improve their performance with the use of data science.

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