AIML Week: ML for forecasting service demand and planning capacity

September 10, 2020
More and more organizations are using advanced analytics based on historical records to plan resource allocation. While ML solutions have recently been proven to be a good alternative to forward models in predicting demand, traditional techniques –mainly models based on the current state of the system – are still preferred in many applications. This session provides an overview of common challenges you may face when evaluating your machine learning or forward models. We recommend this session to developers proficient in building and deploying machine learning models.
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AIML Week: Modifying ML models when major events occur
AIML Week: Modifying ML models when major events occur

Machine learning models are built and optimized based on a data set at a given point in time. If the underl...

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AIML Week: Introduction to AI
AIML Week: Introduction to AI

This is an introductory session on AI. In this course, learn what AI is and why it is important in the publ...