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Microsoft Azure Machine Learning Studio

Concepts on Microsoft Azure Machine Learning Studio
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Content

Platform: Udemy
Video: 4h 6m
Language: English
Next start: On Demand

Table of contents

Description

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

You will learn

✓ Access to Microsoft Azure Machine Learning Studio
✓ Administration of Microsoft Azure Machine Learning Studio
✓ Various Modules in Microsoft Azure Machine Learning Studio
✓ Various Algorithms in Machine Learning
✓ Training a Model in Machine Learning
✓ Predicting values from various Algorithms
✓ Deploying Trained Model into Web services
✓ Introduction on Notebook in Microsoft Azure Machine Learning Studio

Requirements

• Beginner
• Novice
• All Audience

This course is for

• All audience
• Beginner to Microsoft Azure Machine Learning Studio
Software Analyst
Manu was born in the year 1986. He completed his diploma in Electronics and Instrumentation Engineering (D.E.I.E.) in the year 2005 at Krishnadeveraya Government Polytechnic. He did his Bachelor of Technology in Electronics and Communication Engineering in the year 2008. He completed Masters in Electrical Engineering in the year 2009 at University of Bridgeport, Bridgeport, CT US. He worked for five years in Information Technology (IT) as a Systems Analyst in United States and has one approved patent from United States Patent and Trademark Office (USPTO) and two filed patents. He published many articles including research, policies, reviews, mini-reviews, editorial, short communication and letter to editor in various journals. He is an IEEE Member (Member No: 80399531), member of Golden Key International Honour Society (Member No: 16342916) , Member of Epsilon Pi Tau (Member No: 148800), Member of Sigma Alpha Lambda (Member Id: 206804). His areas of interest includes but not limited to Electrical Engineering, Nano technology, Nano medicine, Robotics, Quantum Physics, Physics, Electromagnetics.Show moreShow less
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Platform: Udemy
Video: 4h 6m
Language: English
Next start: On Demand

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