Machine Learning in Manufacturing

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Type of course:

Digital learning, Path

Language:

EN

Duration:

1 hour, 30 minutes

Workload:

6 hours

Proficiency:

Intermediate

Target:

Professionals, Students

Contained within are a selection of materials aimed at introducing the basic concepts of machine learning , going over what it is and how it works and how it can be used to improve the industrial manufacturing process. To this, the concepts of data mining and quality assurance are added, being closely related to the application of machine learning and being of extreme importance to the successful implementation of it. Some practical examples are also shown in order to better contextualize the theory and help the trainee to incorporate and consolidate the knowledge gained.

Finally, a small quiz is used to assess the the proficiency of the trainee in these topics.

Learning outcomes

The trainees gain a superficial understanding of Machine Learning and Data Mining related to the manufacturing industry.
The trainees understand the importance of Data Quality Assurance and its need when implementing ML solutions.
The trainees gain knowledge regarding real world implementations of the Data Quality Assurance and Machine Learning.

LessonMachine Learning in Manufacturing

Course Content

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Machine Learning in Manufacturing 12 Unities | 1 Quiz

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Single module Content

0% Complete 0/12 Steps

Machine Learning in Manufacturing

Machine Learning in Manufacturing

What are Machine Learning Models?

Different types of data.

What can ML Models do?

Uses of ML for shop-floor manufacturing

Examples of applications of ML in Industry

Components of an ML System - Overall

Components of an ML System - Similarities to other Systems

Components of an ML System - Illustrated Example

Machine Learning in Manufacturing - Assessment

Summary and Credits

LessonMachine Learning Models in more detail

Course Content

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Machine Learning Models in more detail 10 Unities | 1 Quiz

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0% Complete 0/10 Steps

Machine Learning in Manufacturing in more Detail

Machine Learning in Manufacturing in more Detail

Anatomy of a Model

Anatomy of Data

Example of a dataset and its linear regression

What are ML Algorithms?

What is model training and prediction?

Example of a ML model applied to industry

Machine Learning in More Detail - Assessment

Summary and Credits

LessonData Quality Assurance

Course Content

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Data Quality Assurance 12 Unities | 1 Quiz

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Single module Content

0% Complete 0/12 Steps

Data Quality Assurance

Data Quality Assurance

What is Data Quality Assurance?

Why do we need Data Quality Assurance

Data Quality Assurance Checks

Examples of Data Quality Assurance Rules - Single Values and Columns

Examples for Data Quality Assurance Rules - Rows and Structured Data

Data QA Monitoring

Data QA Profiling

Data QA Policies

Data Quality Assurance - Assessment

Summary and Credits

LessonData Mining in Manufacturing

Course Content

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Data Mining in Manufacturing 11 Unities | 1 Quiz

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Single module Content

0% Complete 0/11 Steps

Data Mining in Manufacturing

Data Mining in Manufacturing

Overview of Data Mining in Manufacturing

Problem Identification

Example: PCB assembly quality inspection line

Domain Analysis

Example: PCB assembly process

Preliminary data analysis

Data Mining - Assessment

Summary and Credits

LessonData Quality Assurance - Practical Example

Course Content

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Data Quality Assurance - Practical Example 11 Unities | 1 Quiz

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0% Complete 0/11 Steps

Data Quality Assurance - Practical Example

Content Outline

Use Case Domain - Introduction

Use Case Domain - Demonstration

Use Case Domain - Summary

Process Variables - Overview

Process Variables - Data Quality Issues

Data Quality Assurance - Application

Data Quality Assurance - Final Notes

Data Quality Assurance - Assessment

Summary and Credits

LessonMachine Learning - Practical Example

Course Content

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Machine Learning - Practical Example 10 Unities | 1 Quiz

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Machine Learning - Practical Example

Machine Learning - Practical Example

Use Case Domain - Overview of the TLF

Use Case Domain - Summary

Domain Analysis - Normal Functioning of the System

Domain Analysis - Faulty Functioning of the System

Implementation of the ML Model

Implementation of the M.L. Model

Machine Learning - Assessment

Summary and Credits

LessonMachine Learning in Manufacturing - Assessment Quiz

Course Content

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Machine Learning in Manufacturing - Assessment Quiz 2 Unities | 1 Quiz

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Machine Learning in Manufacturing Assessment Quiz

Machine Learning in Manufacturing Assessment Quiz

Summary and Credits

Topics

Digital Transformation, Internet of Things (IoT), Data mining, Data Analytics

Provided by

INESC TEC
Pannon Business Network

Content created in 2022

+223 enrolled

49 €

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Course Includes

7 Quizzes
1 Certificate of achievement

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