There are many libraries out there that can be used in machine learning projects. Of course, some of them gained considerable reputations through the years. Such libraries are the straight-away picks for anyone starting a new project which utilizes machine learning algorithms. However, choosing the correct set (or stack) may be quite challenging.
In this post, I would like to give you a general overview of the machine learning libraries landscape and share some of my thoughts about working with them. If you are starting your journey with a machine learning library, my text can give you some general knowledge of the machine learning libraries and provide a better starting point for learning more.