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DL modelling for demand forecast

By Grenoble INP – UGA

Type of course:

Digital learning, Lesson

Language:

EN

Workload:

2 hours

Proficiency:

Advanced

This nugget about Deep Learning modelling for demand forecast is developed by the team of Grenoble INP. Learning outcomes are: identify suitable methods & algorithms for data analysis of different tools, build performances analysis framework and propose suitable analysis based on data analytics methods

In the nugget, Deep Learning and Machine learning are explained. Concluded is that (Convolutional) Neural Networks are able to produce a good quality prediction.


Learning outcomes

  1. Identify suitable methods & algorithms for data analysis of different tools (logistic regression, NN, CNN)
  2. Build performances analysis framework (predictability, explicability, feasibility, interpretability)
  3. Propose suitable analysis based on data analytics methods

Topics

Digital Transformation, Artificial Intelligence (AI)

Provided by

Content created in 2021
+226 enrolled
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