which of the following is a computational tool that is used to learn a parametric embedding model? can t-sne reduce one dimension which coding language is used to create a pixel vector how to reduce data into one dimension which machine learning model can be used to reduce a set of datasets? t-nee what is the purpose of t-sne algorithm when computing in ada and machine learning how to reduce dataset to one dimension how to reduce datasets to one dimension what is t-sne can sne reduce datasets to one dimension can t sne be used for linear learning which statement describes the use of t-sne in machine learning? when to use t sqeese? which t semantic network is used for visualizing the data? a. a. b. c. d. e. g.e. what is the t sne algorithm used for? if a dataset can be reduced to one dimension, how much information can be lost what does t-sne mean in statistics can I use t-sne for an array can sne be used to reduce data can t-sne reduce a dataset to one dimension