Live Q&A with Matous Cejnek - Machine Learning with Python: Introduction to Clustering and Classification
Matous Cejnek - Watch Now - Duration: 19:33
Live Q&A with Matous Cejnek - Machine Learning with Python: Introduction to Clustering and Classification
Michael_Kirkhart
Score: 0 | 3 years ago | 1 reply
Stephane.Boucher
Score: 0 | 3 years ago | no reply
Should be fixed now, thanks.
mpuchlik
Score: 0 | 3 years ago | no reply
Hello, very nice tutorial. Cheers!
Stephane.Boucher
Score: 1 | 3 years ago | no reply
The notebooks and sample image have been added to the Description of this talk (click on the 'Description' tab)
10:33:34 From Marcin Puchlik : How to apply ML in the DSP area? Any ideas? 10:36:13 From Dave Comer : I was think about how to apply ML to measure the vibration of a furnace to predict the failure, or health of the furnace. It seems as if the main challenge is to capture failure. Can you suggest how you might approach this? 10:37:21 From rakhel : great talk, I don't know nothing about ML, but I got most of the things that you went through in your talk. Thank you ! 10:39:58 From Michael Kirkhart : Yesterday's talk on "Data Centric AI for Signal Processing Applications" discussed the use of an autoencoder for prediction of failures in air compressors. 10:41:49 From Dave Comer : Thanks Michael 10:41:54 From Leonard : here is an article where I synthesized the data and used random forest to categorize symbol 10:41:57 From Leonard : http://koliberengineering.blogspot.com/2020/02/categorical-estimation-of-qam-symbols_27.html 10:44:44 From Dave Comer : Definitely Michael. I would have to wait for a furnace to fail many time. That is my quandary... 10:45:39 From Dave Comer : Where can we get the Juypter file? 10:47:20 From Michael Kirkhart : @Dave Lomer: the autoencoder example from yesterday did not need data from furnace failures; it only needs data from a "normally operating" furnace.
The sample image cannot be accessed - my browser reports a 403 - access forbidden error. It looks like it is not in the same location as the ipython notebooks.