When dealing with complex data science problems, it is important for data scientists to understand advanced machine learning algorithms. Some real-life use cases include text characterization, classification of patients on the basis of biological attributes, image recognition, and stock market prediction. These advanced algorithms can handle complex data and are used across industries such as healthcare, banking, education, telecom, and retail, to name a few.

In this guide, you will learn how to build and evaluate advanced machine learning models such as support vector machines and neural networks with Azure Machine Learning Studio.

#azure #machine-learning