“Recently, I wrote how we do classification at CB Insights. The post outlines some of the things that I have been thinking about how to apply machine learning for a given problem along with the process that we adopted for the classification problem at CB Insights, but also gave me a good opportunity to reflect even further about the machine learning process; shortcomings of papers, books and even traditional education system when it comes to teach the machine learning.
My aim is not to focus on the algorithms, methods or classifiers but rather to offer a broader picture on how to approach a machine learning problem, and in the meantime give couple of bad advices. I will offer my bad advice for a classification problem(algorithm=classifier) and be warned that they may generalize better than your favorite classifier.(I will try not to overfit, but let me know if I do so in the comments.)…”