Life cycle of data becoming a model

In this talk, I will first discuss the common practices of data collection. Data collection process involves data scientists to work with Data Engineers, Software Engineers and product Managers. Given the complexity of this process, data science practitioners will have to be aware of the common problems that arise in data collection and solutions I learned from my experience. The next point of discussion will be about designing the feature extraction. The different modeling algorithm choices which are appropriate for the use-case will be analyzed and presented.

Applied Scientist at Amazon. 5 years of experience in ML science and Engineering practice