Deep Learning vs. Machine Learning: A Simple Explanation

Machine learning and deep learning are two subsets of artificial intelligence which have garnered a lot of attention over the past two years. If you're here looking to understand both the terms in the simplest way possible, there's no better place to be. So if you'll stick with me for some time, I'll try to explain what really is the difference between deep learning vs machine learning, and how can you leverage these two subsets of AI for new and exciting business opportunities. Before I start, I hope you would be familiar with a basic understanding of what both the terms deep learning and machine learning mean. If you don't, here are a couple of simple definitions of deep learning and machine learning for dummies: A subset of artificial intelligence involved with the creation of algorithms which can modify itself without human intervention to produce desired output- by feeding itself through structured data. A subset of machine learning where algorithms are created and function similar to those in machine learning, but there are numerous layers of these algorithms- each providing a different interpretation to the data it feeds on.