Using Auto-sklearn for More Efficient Model Training
Applying a machine learning algorithm to any number of data-related tasks can be an enormous time saver, but the variable factors associated with creating an algorithm can be daunting. One must consider a variety of design-related decisions, and the risks surrounding the creation of an accurate architecture can make... Read more
Automated Machine Learning: Myth Versus Reality
Witnessing the data science field’s meteoric rise in demand across pretty much all industries and areas of scientific research, it’s easy to anticipate efforts to create shortcuts to satisfy the need for more data science practitioners. The current trend of automated machine learning is a great case in point.... Read more