Review on Epic by Johnny Pigao

The flexibility of defining new features using just code instead of writing out rules makes it easy to add more options without changing other parts that are already working well! Also there's no need to use expensive libraries like Apache Beam or Spark when you don't have too much data; all calculations can be done locally which results into better scalability as compared against distributed frameworks (like Cloud Dataflow). I dislike how slow things get once we start adding many different fields/features together -- something gets slower every time an additional field has been added. If having so few choices at first seems bad now imagine if they were 10x worse!! It would definitely not work very smoothly from my experience :) We're solving problems related mainly around personalization & recommendation systems where users' behavior varies depending upon their needs / interests etc., but also trying our best to improve retention rates by targeting specific groups within each user profile who might otherwise go unfollowed after some period. The best part about using epic was that it gave us an easy way to implement our own machine learning model without having any coding experience at all! I would highly recommend this software if you're looking into implementing your first ML algorithm or are just starting out as well!! We were able to train some of these algorithms within minutes rather than hours like we used other softwares such as scikit-learn which took much longer time due to its complexity.