The Strengths and Weaknesses of Modern Machine Learning Algorithms

When it comes to today's machine learning algorithms, they are being used in a variety of ways as well as in different fields. Healthcare, businesses, research are just a few examples where artificial intelligence is being applied to solve problems that either humans could not do by themselves or would take massive amounts of time to solve. However, everything in life has its strengths and weaknesses; modern machine learning algorithms are unfortunately no exception to this rule. Earlier this year, an article posted on the Elite Data Science website focused on several types of today's modern machine learning algorithms as well as their strengths and weakness. Basically, there is no super algorithm that can solve every problem and that it would be an innovative idea to try a variety of algorithms to resolve the problem at hand.