Learning better together the background of various Machine Learning topics, their applications, the problems faced in diversified industry use-cases and the work-arounds. Usually, one topic is designated at a time, it may follow a book such as the classical Elements of Statistical Learning book written by the 2 famous Stanford professors Hastie & Tibshirani. Anyone can be up for presenting in the session as long as he/she is prepared and ready, maximum 2 speakers each session, at the end, Q&A as well as panel discussions and everybody votes for the best presenter and chips in 2 bucks to be an assembled prize for the winner. We will pick the majority vote on the interested topics for the following meet-up and pick the people from the 2nd question that can speak on it.