What is Machine Learning?
Machine learning is a branch of artificial intelligence that provides the system the ability to automatically learn and improve from experience being explicitly programmed. Machine learning focuses on the development of computer programs that can access data and use it to learn for themselves. basically, it helps the computer to learn things themselves without the intervention of humans.
What is an API?
API is an abbreviation of application programming interference, it is a set of code to provide an interface between two devices for data transmission.it also contains the terms of data exchange. Application programming interfaces consist of two components-:
Technical specification describing the data exchange options between solutions with the specification done in the form of a request for processing and data delivery protocols.
The software interface is written to the specification that represents it.
Types of API’s
There are three types of API’s
Private API:- a private API is customized within an organization which is intended not to show to the customers, it also isn’t supposed to be called by third-party developers. these are usually reserved for the organization. ex: amazon ml API.
Partner API: Partner APIs are APIs exposed by/to the strategic business partners. They are not available publicly and need specific entitlement to access them. Like open APIs, partner APIs are the tip of the iceberg because they are the most visible ones and are used to communicate beyond the boundaries of the company. ex: Netflix
Public APIs: Public APIs. Also known as developer-facing or external, these APIs are available for any third-party developers. A public API program allows for increasing brand awareness and receiving an additional source of income when properly executed. ex: eBay
Top 5 Machine Learning API’s
Here are the top 5 machine learning API’s listed below -:
(Also read: Working of Keras Functional API)
Microsoft Azure ML Studio
Microsoft Azure ML is a cloud-based platform for creating and managing machine learning solutions. Azure ml is a very useful tool for data scientists and engineers, it helps them to leverage their existing data processing and model development skills and framework.
Azure ml is very user-friendly and it very less restrictive to users, Azure tools have a lot of data and algorithms for more accurate predictions. You can publish your model as a web service. Azure security measures manage the security of Azure Machine Learning that protects data in the cloud and offers security-health monitoring of the environment.
Is coding is required for the Azure ml?
Azure as a platform can be learned without knowing any programming at all. Although if you wish to deploy an application to Azure then you may need to write some configuration code or a deployment script. But for normal infrastructure management and other tasks you can use Azure.
Is azure ml is free?
No, it is not a free API, you have to pay 200$ at the time of signup.
ML Amazon API
Amazon Machine learning is one of the leading topics in today’s technological landscape. the popularity of Amazon in the online retail sector as well as the cloud computing sector supports its credibility. Therefore, Amazon ML presents a formidable potential for excellence in the field of machine learning. In the following discussion, let us explore AWS machine learning in detail, supported by a basic impression of machine learning.
Also, the following discussion would shed some light on Sagemaker, Amazon’s fully-managed service for machine learning models. Amazon machine learning is a resilient, cloud-based service for developers to use machine learning technology. Amazon machine learning provides exceptional support in the process of creating machine learning models. After the models are ready, machine learning helps in obtaining predictions for an application with simple APIs.
Amazon ml API is a private API’s so it is not available for the use of general people.
(Learn About: Python Pandas For Machine Learning)
IBM Watson Studio
IBM Watson is an open API for any cloud environment, it basically helps to Build models and develop applications to help your business make more accurate predictions, automate processes, interact with users and customers, and augment expertise. IBM Watson is AI for business. Watson helps organizations predict future outcomes, automate complex processes and optimize employees' time. Amazon Watson was introduced in 2010.
IBM Watson Pricing
Enterprise: 100,000 API calls per month for $100
Enterprise 25M: 25 million monthly API calls for $10,000
Enterprise 1B: 1 billion monthly API calls at $160,000
Hybrid Professional: 100,000 API calls at $55
Hybrid Enterprise: 100,000 API calls at $44
Native: free
Machine Translation -Helps translate text in different language pairs.
Message Resonance – To find out the popularity of a phrase or word with a predetermined audience.
Question and Answers -This service provide direct answers to the queries that are triggered by primary document sources.
User Modelling – To make predictions about the social characteristics of someone from given text.
BigML
BigML is a public API that is a user and developer-friendly Machine learning API that mainly concentrates on decision trees. BigML was founded in 2011 in convillas, united states. The motive of BigML is to make predictive analytics easy, understandable, and beautiful to the users. It focuses on understanding the business processes and end-user analysts making reports. BigML API provides 3 important modes – Command Line Interface, Web Interface, and a RESTful API. The web interface of BigML is pretty cool with features like one click and gallery.
Kairos ML Studio
Kairos API is one of the leading human analytics platforms that is designed to perform facial identification. It offers a wide variety of image recognition solutions through its latest machine learning API. The API in Kairos’s endpoints includes identifying gender, age, emotional depth, facial recognition in both photo and video. Kairos API is the best human analytics platform that is designed to integrate human identity into software apps.
Kairos creates safer, more accessible customer experiences, It provides unlimited face galleries and lightning-fast results with just a few lines of code. It provides unlimited face galleries and lightning-fast results with just a few lines of code. But, The cost of the paid version is a bit high as compared to other machine learning APIs.
Kairos APIs used as frictionless digital identity authentication for business, use APIs of the Kairos and provides the Threat and intrusion detection, Perimeter and asset monitoring, and Known individual detection in business.
Conclusion
A good machine learning API leads to perfect results, refining, and accuracy. These top 5 machine learning libraries like BigML, Kairos, IBM Watson, Azure ML, and ML Amazon API are some of the best machine learning API. These few places are best in order to implement your machine learning model.
