Enterprise applications trending to adopt Machine Learning as their strategic implementation and performing machine learning deep analytics across multiple problem statements is becoming a common trend. There are variety of machine learning solutions / packages / platform that exist in market. One of the main challenges that the teams initially trying to resolve is to choose the correct platform / package for their solution. Based on my limited experience with different machine learning solutions I thought to write this blog to list out the points (features in machine learning term) to consider while choosing a specific ML platform and list pros and cons of each of the solutions in market. Let's look at feature set to be weighted before deciding a ML solution Now let's look at the different machine learning solutions / platforms available in the market and where they stand with respect address the feature requirements.