Machine Learning for decision makers
This Machine Learning course is for employees in managerial (technical and non-technical) and non-technical positions willing to deepen their knowledge on the possibilities of Machine Learning and how they can implement it in their own organisation.
- History and evolution of Machine Learning: Where do we come from and where are we now?
- Main Machine Learning concepts
- Introduction to supervised vs unsupervised learning
- Deep Learning
- Activity: possible applications of regression and classifications
- Conceptual introduction
- Activity: possible applications of unsupervised learning
Other Machine Learning related learning problems:
- Reinforcement learning
Infrastructure in Machine Learning:
- Upscaling vs outscaling
- Distributed computing
- CPU vs GPU
- How to estimate resource utilization
From lab to production:
- Response times
- Training serving skew
- Online vs batch prediction
Planning a Machine Learning approach for a specific Use Case.
Final summary, discussion, Q&A, etc.
Contact us to sign up for this course >>
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