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What is Microsoft Azure Machine Learning? - Evolvous

What is Azure Machine Learning? 

Microsoft Azure Machine Learning is a service that enables you to easily build, train and deploy your predictive analytics models in the cloud. It provides a set of tools and services for data scientists and developers to build intelligent apps by leveraging machine learning without having expertise in building an infrastructure or managing the compute resources required for running large-scale analytics processes.

Every day we create loads of data, for instance: – Our social media activities, our search history, log in and log outs, accessing files, online cash transactions, shopping on eCommerce sites, face recognition to name some and these chunks of data hold secrets. With lots of data about something, you can examine that data in intelligent ways to find patterns. And those patterns, which are typically too complex for you to detect yourself, can tell you how to solve a problem. This is exactly what Machine Learning does. 

Quoting David Chappell’s introduction: 

[Machine Learning] …applies statistical techniques to large amounts of data, looking for the best pattern to solve your problem. It then generates an implementation—code—that can recognize that pattern. This generated code is referred to as a model, and it can be called by applications that need to solve this problem. [David Chappell’s Introduction for Technical Professionals] 

Azure Machine Learning and it’s Capabilities

Machine Learning is an application of artificial intelligence which empowers the systems to automatically learn and improve from experience without being programmed. Today Machine Learning is used to predict an organization’s future revenues, medical diagnosis, image processing, aviation industryrecommend movies/songs/products for customers, or anything else where lots of historical data is available.  

Azure Machine Learning (Azure ML) is a cloud service running on Microsoft Azure which is a public cloud platform. It empowers developers and data scientists with a wide range of productive experiences for building, training and deploying machine learning models that are easy to understand, protect and control. 

With no-code designer and you can rapidly build and deploy models regardless of your skills. You can also accelerate model creation using the Automated Machine Learning UI and further boast your productivity. 

Azure Machine Learning provides all the tools developers and data scientists need for their machine learning workflows:  

 Microsoft Azure Machine Learning Tools for developers - Evolvous

  • The Azure Machine Learning designer,  
  • Jupyter notebooks
  • R scripts 
  • The Many Models Solution Accelerator 
  • Visual Studio Code extension
  • Machine learning CLI
  • Open-source frameworks and  
  • Reinforcement learning with Ray RLlib. 

Azure offers two Machine Learning solutions with different capabilities and advantages: 

  1. Machine Learning Service

A more open platform for creating ML solutions using Python and other open-source tooling.

2. Machine Learning Studio

For building ML solutions using a collaborative, drag and drop interface and pre-built models.

The following table summarizes some of the key differences between Azure Machine Learning and Studio (classic): 

[table id=1 /]

Azure Machine Learning also comes with Responsible ML capabilities that empower data scientists and developers to innovate responsibly. These capabilities help developers to understand, protect and control their models throughout the machine learning life cycle.  

Experts at Evolvous Limited develop prediction models to identify high-performing assets, products or services. As you grow you can gather more data, and we calibrate and optimize your processes. Contact-us and explore possible synergies!

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