Bag of Tricks in Machine Learning

• Why Did I Reject a Data Scientist Job?
• Why You Don’t Need Data Scientists
• Here’s why so many data scientists are leaving their jobs
• Why are Machine Learning Projects so Hard to Manage?
• Data Scientists: Why are they so expensive to hire?

Glad to appear in my friend Rand Xie’s talk! See: 22:29

Thanks for mentioning me. See 17:10

https://ai.googleblog.com/2019/04/evaluating-unsupervised-learning-of.html

The choice of random seed across different runs has a larger impact on disentanglement scores than the model choice and the strength of regularization (while naively one might expect that more regularization should always lead to more disentanglement). A good run with a bad hyperparameter can easily beat a bad run with a good hyperparameter. 

https://anand.typepad.com/datawocky/2008/03/more-data-usual.html