Machine Learning & Data Science - IMR

Is this course for you?

Intended for anyone interested in understanding and potentially using machine learning; it covers the core machine learning concepts plus more state-of-the-art approaches, planning and evaluating a machine learning project, plus outlining the pitfalls involved.

Delivery: Live facilitator led Microsoft Teams based workshops. Learning platform: Zoom or MS Teams. Learning methodology: Real world activities by topic. Learning transfer: SME presentation, interactive Q&A, Scenario based quiz and reinforcement reflection.

Learn the most important steps and implementation concepts for the realization of machine learning projects. Participants will be introduced to the practical implementation of machine learning algorithms through use-case examples in the machine learning programming language Python.

Module 01 Introduction (IMR), Introduction to ML

Intro IMR
What is Data Science & ML
ML/DS Problems
Use cases: Supply chain, Smart robots Process improvements, Maintenance

Module 02 Approaching ML problems

What can go wrong in ML projects
How to ask the right questions
Simple workflow
More complex workflow
How do we predict things

Module 03 ML Algorithms – part #1

Regression
Classification
Evaluating Your Models

ML Algorithms – part #2

Unsupervised learning
Decision Trees/Random Forests
Time Series

Module 05 Advanced ML techniques & example(s) for manufacturing & Next Steps

Deep Learning
Computer Vision
Natural Language Processing

Managers who want to learn the language and tools of Machine Learning.

Interested to find out more?

If you have any questions or would like to know more about this course, register your interest today by completing the form below.

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