Artificial Intelligence (AI) and machine learning have influenced multiple industries by changing the dimensions of the data and technology. Which type of machine learning is appropriate for your current business goals?
Supervised learning is where you have input variables (x) and an output variable (Y) and an algorithm is used to learn the mapping function from the input to the output. It is so called supervised learning because the algorithm is learning from the training data sets.
Unsupervised learning is a black box where certain variables are given as input and no target variables. The advantage of unsupervised machine learning is that algorithms work through humongous data set and often find patterns and relationships.
Reinforcement learning is subjected to specific rules like in a game. As the algorithms start running the code, they innately try different strategies and learn from their previous experience to maximize their output. The best application of reinforcement learning is Google Alpha.
Deep learning can be used in all three types of machine learning but mostly used in supervised learning. This technique utilizes artificial neural networks and is used in classifying objects based on their features.