Machine learning for supply chain - Lecture 4.4


00:21 Introduction
01:53 From forecasting to learning
05:32 Machine learning 101
09:51 The story so far
11:49 My predictions for today
13:54 Accurate on data we don’t have 1/4
16:30 Accurate on data we don’t have 2/4
20:03 Accurate on data we don’t have 3/4
25:11 Accurate on data we don’t have 4/4
31:49 Glory to the template matcher
35:36 A deepness in the learning 1/4
39:11 A deepness in the learning 2/4
44:27 A deepness in the learning 3/4
47:29 A deepness in the learning 4/4
51:59 Go big or go home
56:45 Beyond the loss 1/2
01:00:17 Beyond the loss 2/2
01:04:22 Beyond the label
01:10:24 Beyond the observation
01:14:43 Conclusion
01:16:36 4.4 Machine learning for supply chain - Questions?

Description

Forecasts are irreducible in supply chain as every decision (purchasing, producing, stocking, etc.) reflect an anticipation of future events. Statistical learning and machine learning have largely superseded the classic ‘forecasting’ field, both from a theoretical and from a practical perspective. We will attempt to understand what a data-driven anticipation of the future even means from a modern ‘learning’ perspective.

References

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