21/Nov/2024 | 5 minutes to read
Machine Learning is a Data Science technique that allows to create models by finding patterns in existing data. These Models helps in Fraud detection, forecast future behaviors and trends on new data without being explicitly programmed.
Machine Learning helps to build smart apps and devices by it's forecasts and Future predictions. For example, When you swipe your card, machine learning models help to detect frauds by comparing transaction with a large database of transactions. Another example, when you do online shopping, machine learning helps to show you recommended products based on your past shopping you have done.
Azure Machine Learning is a cloud-based environment or workspace to prepare, train and deploy machine learning models. Azure ML provides the capability to manage, automate and track these ML models. Azure Machine Learning gives you a platform to work with any type of machine learning from classic machine learning to deep learning. You can also work with supervised and unsupervised learning.
Azure ML workspace provides flexibility to write the code in any language like python or R with SDK or with no code using ML studio to build, train and manage the models.
Azure Machine Learning provides a web portal for Data Scientists known as Azure Machine Learning Studio.
It includes both experiences as no-code and code-first for data science platform. You can use studio in any browser compatible with
your OS.
Azure Machine Learning Studio offers many development experiences based on project type you choose to work as below.
Azure Machine Learning service provides various capabilities and solutions as below.
Azure Machine Learning
Core Machine Learning Interview Questions