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Machine Learning Pipelines in Microsoft Azure Module

Technology Application Modules

ISBN:

978-1-967084-16-6

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Machine Learning Pipelines in Microsoft Azure Module

Mark Keith, PhD

This module will guide students through a no-code solution for developing machine learning pipelines using Microsoft Azure Machine Learning Studio Designer. This end-to-end solution is ideal for learning the overall process in a single tool, including data collection, data cleaning, data modeling (including algorithm testing and feature selection), and model deployment.

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Course Objective

This module teaches students to develop end-to-end machine learning pipelines using Microsoft Azure Machine Learning Studio Designer, covering data collection, cleaning, modeling, and deployment without requiring coding.

Table of Contents

Chapter 1: Introduction to Pipelines Chapter 2: Data Cleaning and Preparation Chapter 3: Algorithm Selection Chapter 4: Selecting the Features Chapter 5: Optimizing Model Fit and Performance Chapter 6: Natural Language Processing Chapter 7: Recommendation Engines Chapter 8: Final Project: Putting It All Together Supplement: Computer Vision (in progress) Supplement: Datasets

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