Creating & Deploying Microsoft Azure Machine Learning Studio Solutions

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Course Features

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Duration

2.93 hours

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Delivery Method

Online

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Available on

Downloadable Courses

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Accessibility

Mobile, Desktop, Laptop

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Language

English

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Subtitles

English

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Level

Advanced

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Effort

2 hours per week

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Teaching Type

Self Paced

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Video Content

2.93 hours

Course Description

Machine Learning and Data Science are exciting fields that are rapidly growing. They will give you the tools to get deeper insights from your data. This course will teach you how to create and deploy Microsoft Azure Machine Learning Studio Solutions. You'll first learn about data import, cleansing and transformation. Next, you will learn how to train, evaluate, and refine Machine Learning Models. You'll also learn how to deploy and use Predictive web services. This course will teach you how to create data science experiments with a variety machine learning algorithms. You'll also be able to code your first experiment using Jupyter notebooks or Visual Studio Code.

Course Overview

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International Faculty

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Case Based Learning

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Post Course Interactions

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Case Studies,Instructor-Moderated Discussions

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Case Studies, Captstone Projects

Skills You Will Gain

What You Will Learn

Preparing Data and Data Sources

Cleaning, Normalizing and Transforming Raw Data (Feature Engineering)

Training, Evaluating and Refining Machine Learning Models

Automated Machine Learning

Deployment and Machine Learning Pipelines

Course Instructors

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Karen Menezes

Instructor

Karen Menezes is a freelance UI developer and author who specializes in CSS. Karen works towards an open, adaptive web, and loves the implicit challenges of responsive web development where performance and user experience are indispensable.
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