Viewing profile — chengtao

To add on top of that, even with great data analysis skill, I had another blog-post talking about it requires all the product, data, and engineering skills together to make a good …

As you pointed out the transforming features is powerful, I believe that's the exact reason which makes SVM powerful. Though the way features can be combined with SVM is limited, t…

great comment and +1

Yes, and IMO, most of the time, the insight behind the data is far more important than the modeling algorithms to achieve high performance with few exceptions (say computer vision,…

I personally love the topic of bayesian optimization over all the possible parameters including model choice. My point was more about given the resource is always constrained, it t…

All the other comments are great. Just bear in mind that it's important to really understand the mechanics behind each importance measurement. Some can use information gain, some c…

Great question and my main point is less about up sampling the rare cases but more about the default loss function used in the model training might not directly align with the fina…

Also, thank you all for reading the post. I'm the author and I'll be happy to clarify any of the points in the blog~

Not really, it was actually more inspired by Statistics Done Wrong.

great point and this is the exact rationale behind the architectural design

if you are interested, there is also a separate blog post, http://www.codecademy.com/blog/143-eventhub-open-sourced-fun... , in which we talk about some high level architecture con…