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Anomaly Detection in Manufacturing using Data Science Techniques

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Amit Rawool

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This course format is where trainer will explain you the subject via online live session. Date and time are not decided yet but it will be planned within next 2 weeks after you enroll & pay for this course. Get in touch with our team if any clarification is required.

₹ 2500

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What you’ll learn

Key topics covered

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What you'll learn

1. What is anamoly detection and how/where it can be used in engneering fields.

2. Theoretical background.

3. Techniques of anamoly detection.

4. Practical application case study.

Key topics covered

1. Introduction

2. Purpose and scope of anamoly detection

3. Basic theoretical background of the technique

4. Different methods used for anamoly detection

5. Case study

Course Details

Anamoly detection is a technique primarily known for its use as a fraud detection tool in financial transactions. However it has wide applications in core engineering areas such as system health monitoring, component defect detection, detecting disturbances in sensor networks etc. This course will introduce general theory of the method and cover key techniques used for anamoly detection, in detail. A case study from actual industrial application will also be presented.

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