Difference between Machine Learning and Deep Learning
Machine Learning (ML) is a subset of Artificial Intelligence. It is a method of training an algorithm with data (input) in order to get the desired output without explicitly programming it to do so. ML is simply a technique for realizing AI.
Deep Learning (DL) is considered a subset of Machine Learning. This has to do with multi-layered training of algorithm with data. It is stated multi-layered as it contains a hidden layer between the input layer and the output layer.
Deep Learning is basically machine learning but with multiple layers between the input and the output and used to solve complex machine learning problems.
Also, while machine learning is most attributed to structured (tabular) data, deep learning is most attributed to unstructured data.
Link to full blogpost: https://medium.com/dataseries/the-difference-6294e510e6d
Author – Udeme Udofia