What is Machine Learning?
Machine learning is a data science technique that allows computers to use existing data to forecast future behaviours, outcomes, and trends. By using machine learning, computers learn without being explicitly programmed.

Forecasts or predictions from machine learning can make apps and devices smarter. For example, when you shop online, machine learning helps recommend other products you might want based on what you've bought. Or when your credit card is swiped, machine learning compares the transaction to a database of transactions and helps detect fraud. And when your robot vacuum cleaner vacuums a room, machine learning helps it decide whether the job is done.

Why Azure Machine Learning

Azure Machine Learning can be used for any kind of machine learning, from classical ML to deep learning, supervised, and unsupervised learning. Whether you prefer to write Python or R code with the SDK or work with no-code/low-code options in the studio, you can build, train, and track machine learning and deep-learning models in an Azure Machine Learning Workspace:

  • No coding is required in a drag-and-drop environment. 
  • There are some in-built algorithms and data transformation tools. 
  • Full freedom over our algorithms or any free library. 

Easy & Flexible building interface

Business can execute their Machine Learning development through the Microsoft Azure Machine Learning Studio. It offers drag and drop components that minimize the code development and straightforward configuration of properties. Moreover, it helps businesses to build, test and generate advanced analytics based on the data.

Wide range of supported algorithms

Azure ML offers readily available well-known algorithms that can be configured simply by drag and drop. It does not require the knowledge of data science or expertise in algorithms; you just need to know when to use them. Specific algorithms like logistic regression and decision tree can also help in devising real-time predictions or forecasts. Moreover, there is no limit in importing training data and you can fine-tune your data easily. This feature of Azure ML significantly saves the cost and help to generate revenue.

Easy implementation of web services

All you need is to drag and drop your data sets, algorithms, and link them together to implement web services needed for ML development. Once you have practiced with the environment, you just need to test, which would be ready for the further use, then you need to click one button to create and publish the web service. Now, you can use the web service from any device by passing valid credentials.

What is Azure Machine Learning Studio

Azure Machine Learning studio is a web portal in Azure Machine Learning for low-code and no-code options for model training, deployment, and asset management. The studio integrates with the Azure Machine Learning SDK for a seamless experience.

Is Azure Machine Learning Studio free?

The Azure Machine Learning Free tier is intended to provide an in-depth introduction to the Azure Machine Learning Studio. All you need to sign up is a Microsoft account. The Free tier includes free access to one Azure Machine Learning Studio workspace per Microsoft account

The Azure Machine Learning Algorithm Cheat Sheet

The Azure Machine Learning Algorithm Cheat Sheet helps you choose the right algorithm from the designer for a predictive analytics model. 

Azure Machine Learning has a large library of algorithms from the classification, recommender systems, clustering, anomaly detection, regression, and text analytics families. Each is designed to address a different type of machine learning problem.

Azure Machine Learning cheat sheet