Simple ML methods that were used in the normal-size data analysis are no longer effective and should be replaced by more robust ML methods. Although classical ML techniques allow researchers to identify groups or clusters of related variables, the accuracy and effectiveness of these methods diminish with large and multidimensional data.
Delving into DL
How did DL take ML to the next level?
Simple ML methods used in small-scale data analysis are not effective when dealing with large and high-dimensional datasets. However, deep learning (DL), which is a branch of ML based on a set of algorithms that attempt to model high-level abstractions in data, can handle this issue. Ian Goodfellow defined DL in his book "Deep Learning...
