Top 9 APIs In Machine Learning & Artificial Intelligence

APIs are a set of tools and protocols used for building software and models. There are various types of APIs like Local API, Web API, and Program API, which help machine learning developers communicate with each other and share knowledge across various platforms. In this article, we are listing down the top nine APIs every developer who’s working with ML and AI should know:    (The list is in alphabetical order)

1| Amazon Machine Learning API

Amazon machine learning API is one of the most popular APIs among the organisations. It allows the users to perform various kinds of machine learning tasks and has the capability to easily build, train and deploy machine learning models. Here, a user can choose from a number of pre-trained AI services for computer vision, language, recommendations, forecasting, among others. It is built on Amazon cloud platform and mainly optimised for machine learning with high performance.

2| BigML 

BigML is a machine learning REST API where a user can easily build, run and bring predictive models in a machine learning project. This API can be used to perform basic supervised and unsupervised machine learning tasks and also to create sophisticated machine learning pipelines. BigML.io has several features such as it provides the users with fully white-box access to datasets, models, clusters and anomaly detectors, provide near real-time predictions and much more. 

3| Google Cloud APIs

Google Cloud APIs include a number of tasks for the machine learning developers such as the Vision API which offers powerful pre-trained machine learning models through REST and RPC APIs. Vision API is used to detect objects and faces, read printed and handwritten text, and build valuable metadata into an image catalogue. Cloud Speech API enables developers to convert audio to text by applying powerful neural network models in an easy-to-use API. The powerful pre-trained models of the Natural Language API let the developers work with natural language understanding features which include sentiment analysis, entity analysis, entity sentiment analysis, content classification, and syntax analysis. 

4| Geneea Natural Language Processing API

Geneea is a natural language processing (NLP) platform which mainly helps the users to leverage the text data. It offers four types of public API and they are General API, Media API, VoC API and Intent Detection. The general API or G3 API is a general-purpose LU API which can perform one or more linguistic analyses such as language detection, sentiment analysis, etc. The Geneea Media API detects what news articles are about, assigning semantics tags to them. The Voice of the Customer API offers the users to analyse customer feedback, detecting the topics customers talk about, etc. Lastly, the intent detector can be used to detect a non-parameterised intent in a text.  

5| IBM Watson Discovery API

IBM Watson Discovery is a cognitive search and content analytics engine where a developer can add applications in order to identify patterns, trends and actionable insights to drive better decision-making. The Watson Discovery API includes various machine learning services such as IBM Watson Assistant, IBM Watson Personality Insights, IBM Watson Visual Recognition, IBM Watson Natural Language Processing, IBM Watson Speech to Text, among others.

6| Kairos API

With the help of computer vision and deep learning, Kairos API enables the machine learning developers to build face recognition techniques in their software products along with various other features such as search human faces in photos, videos and images, detection of age groups, search for face matches, gender detection, diversity recognition, multi-face recognition, among others. 

7| Microsoft Azure Cognitive Service — Text Analysis

Text Analytics API in Microsoft Azure Cognitive Services is a cloud-based service which provides advanced natural language processing over raw text. It is basically a collection of machine learning and AI algorithms in the cloud for development projects. The API includes four main functions, they are sentiment analysis, key phrase extraction, language detection, and named entity recognition. 

8| Prediction IO

PredictionIO is a prediction based API and is an open-source machine learning server which is built on top of a state-of-the-art open source stack for developers as well as data scientists to create predictive engines for any machine learning task. This API has several intuitive features such as speed up machine learning modelling with systematic processes and pre-built evaluation measures, simplify data infrastructure management, support machine learning and data processing libraries such as Spark MLLib and OpenNLP, unify data from multiple platforms in batch or in real-time for comprehensive predictive analytics and much more. 

9| TensorFlow API

TensorFlow API can be used by the machine learning developers for constructing and executing a TensorFlow graph. It is available in several languages such as JavaScript, Python, Java, Go, C++ and Swift. Currently, the TensorFlow API in Python is the most complete and easiest to use.