This course gives you basic ideas and usage of Microsoft Azure Machine Learning Studio.

Microsoft Azure Machine Learning Studio is an application of artificial intelligence (AI) that provides systems the ability to automatically learn and improve from experience without being explicitly programmed. It is the development of computer programs that can access data and use it to learn for themselves.

The process of learning begins with the data, such as examples, direct experience, or instruction, in order to look for patterns in data and make better decisions in the future based on the examples that we provide. The primary aim is to allow the computers to learn automatically without human intervention or assistance and adjust actions accordingly.

Applications of Machine Learning include but not limited to virtual personal assistants, predictions while commuting, videos surveillance, social media services, email spam, and malware filtering, online customer support, search engine result refining, product recommendations, online fraud detection, etc.,

Please Note: This course is to develop an algorithm of specific instructions and data generated can be used for performing specific tasks for computer systems.

In this, you can get access to the tool for practice so that if I missed something or something has been updated you can have hands-on practice.

• Lecture -1 Introduction to Microsoft Azure Machine Learning Studio and Administration
• Lecture -2 Various Modules in Machine Learning
• Lecture -3 Prediction of Income (Automated Tutorial)
• Lecture -4 Prediction of Automobile Price using Linear Regression Algorithm
• Lecture -5 Dataset Processing and Analysis (Sample-1)
• Lecture -6 Cross-Validation for Regression (Sample-2)
• Lecture -7 Clustering Group Iris data (Sample-3)
• Lecture -8 Introduction on Notebook in Microsoft Azure Machine Learning Studio