Data Mining in Manufacturing

Type of course:

Digital learning, Lesson

Language:

Duration:

15 minutes

Workload:

2 hours

Proficiency:

Intermediate

Target:

Professionals, Students

This Nugget provides an introduction to Data Mining, expanding about the subjects of problem identification, domain analysis and data sourcing. It also shows an example of the process of selecting data to be used in with machine learning models.

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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

Overview of Data Mining in Manufacturing

Problem Identification

Example: PCB assembly quality inspection line

Domain Analysis

Example: PCB assembly process

Sourcing Data

Preliminary data analysis

Data Mining - Assessment

Summary and Credits

Complete!

Topics

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

Provided by

INESC TEC
Institute of Science and Innovation in Mechanical and Industrial Engineering

Content created in 2022

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Data Mining in Manufacturing

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