In this article, I want to show how can one perform ML with Mathematica and see its main advantages and disadvantages. The last two versions, namely Mathematica 12 and 13 have many built-in ML functions that can perform almost all needed ML computations.

On the other hand, regarding the field of ML there are several software that can perform excellent computations such as Python, R, Java, Matlab, and Maple.Įarlier versions of Mathematica had very limited capabilities to perform ML efficiently, but as years have passed, it has integrated many different ML functionalities that are easy to use with shortcode lines. One of the strongest points of Mathematica is symbolic computations and in this regard, there is no software that can compete with Mathematica. With Mathematica one essentially can perform all scientific calculations including Machine Learning (ML).

I will typically do something like PlotLegends -> Placed['', ,Įxport['frame2.png', frame2, ImageSize -> 3.Wolfram Mathematica (or simply Mathematica) is one of the best software that exists for scientific computations and multitasking. I have found that including a PlotLegends will cause the scaling to work fine, even if the legend is not visible. One suggested solution is to export the plot as a PDF using ExportString and then immediately import it with ImportString. The axes/ticks don’t scale with image resolution. Well, that doesn’t look good! Unfortunately, there is a bug in how the PNG (and TIFF, and possibly other) exporters work. Mathematica has a bug where scaling doesn’t work properly. Default plot that should be 3.2″ wide and print at 300 dpi.

Wolfram mathematica plot font size