Machine Learning in 2018 – New Machine Learning APIs Developers Need to Know About

by Łukasz Chojnowski

Published on November 29, 2017

machine learning

From collaborative, computer-assisted programming to artificial intelligence data mining, machine learning technology is being used in a myriad of ways. Developers wanting to remain on the cusp of innovation are well-advised to make machine learning technology an integral part of their creation process. New machine learning APIs are being released with increasing frequency. If you want to upgrade the skills you offer clients, following is a selection of new machine learning APIs you should add to your coder’s resource list.

Valossa

The Valossa API combines machine learning and natural language processing to provide voice search for video discovery. Everyone from broadcasters to advertisers can utilize this API to improve the ROI of their video output.

Intellexer

The Intellexer API lets developers integrate a number of machine learning interfaces into their applications. Options include semantic analysis, natural language processing, and document comparisons (regardless of format). This intriguing API also offers access to spellchecker and document summarization interfaces.

Google Cloud Vision

The Google Cloud Vision API lets developers integrate visual content analysis into their applications. This powerful API offers access to face detection, object detection, and text in images detection.

These are just a few of the intriguing machine learning APIs now available to developers. Tracking new API launches is a fantastic way to stay up-to-date on the latest happenings in machine learning technology. Will you be incorporating any of these application program interfaces into your next build?

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