As a Data Scientist who worked in a manufacturing company I can tell you this explanation 35:37 and breakdown of "normalization" is the most helpful thing you will ever hear in your career. That is because EVERYTHING that you will want to do with your data will involve some sort of joining or matching together different data from different sources based on a timestamp and/or other criteria for the sake of building a consolidated data product to train an algorithm on. Some other examples I can think of are normalizing machine conditions data against quality measurements, or normalizing electrical energy consumption readings against machine status. Thank you, Walker.
As a Data Scientist who worked in a manufacturing company I can tell you this explanation 35:37 and breakdown of "normalization" is the most helpful thing you will ever hear in your career. That is because EVERYTHING that you will want to do with your data will involve some sort of joining or matching together different data from different sources based on a timestamp and/or other criteria for the sake of building a consolidated data product to train an algorithm on. Some other examples I can think of are normalizing machine conditions data against quality measurements, or normalizing electrical energy consumption readings against machine status.
Thank you, Walker.
Thanks for sharing!
Great presentation, Walker. Always learn something from your presentations, whether it is information on UNS or Industry 4.0, or how to present.
You have the art of mesmerizing the audience ❤ would it be possible to get hold of your presentation?
Is Eric planing to post other talks too ?