145 - Confusion matrix, ROC and AUC in machine learning

36:44
148 - 7 techniques to work with imbalanced data for machine learning in python

16:17
ROC and AUC, Clearly Explained!

27:47
154 - Understanding the training and validation loss curves

25:42
349 - Understanding FAISS for efficient similarity search of dense vectors

4:53
O TikTok acaba de lançar seu matador React Native…

24:06
155 - How many hidden layers and neurons do you need in your artificial neural network?

20:10
127 - Data augmentation using keras

23:09