Microsoft Azure Machine Learning Studio
- 2.3
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Brief Introduction
Concepts on Microsoft Azure Machine Learning StudioDescription
This course gives you basic idea 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 learning 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 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 task 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
Requirements
- Requirements
- Beginner
- Novice
- All Audience
Manu Mitra
2.3 Raiting
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