Difference Between Machine Learning and Deep Learning

Machine learning and deep learning are often confused to be the same. The following article highlights their main differences and how both technologies will change the world.

Over the past few years, the growth in technologies like AI, big data, and blockchain has offered incredible benefits to both, the industries and the end users. As a result, AI is gaining a lot of attention due to its ability to create machines that can behave intelligently and smartly, like humans. However, AI is broadly classified into two major concepts: machine learning and deep learning. These two terms are often used interchangeably and the difference between machine learning and deep learning remains unknown to most. Machine learning and deep learning are entirely different from one another.

To simplify, deep learning is a part of machine learning. By definition, machine learning is an approach of AI that is explicitly programmed to make devices understand, analyze, learn, and adapt to their work environment. For instance, Netflix offers us a list of movie recommendations based on our past preferences. Machine learning algorithm parses the assimilated data and its algorithms analyze it to act accordingly. Furthermore, we have come across Google’s ‘did you mean’ section, right?, which pops up when a typo error occurs. Google uses its machine learning algorithm to learn from our mistakes and recommend the correct word to us.

On the other hand, deep learning is a part of machine learning that parses massive volume of data using neural networks to obtain a more profound outcome that machine learning fails to achieve. In simple words, deep learning algorithm works similar to how humans interpret and understand a situation. For example, when it comes to identifying a dog, deep learning technique applies its algorithm that finds out that a dog image has been provided to them, whereas machine learning just parses the data and outputs that it is an animal.

Machine learning and Deep Learning will Transform our Future

Now that we have a clear understanding of the difference between machine learning and deep learning, let us learn what they can offer us in the near future. With its incredible benefits and applications, machine learning and deep learning will undoubtedly provide us with path-breaking innovations. To stay ahead of the curve, various industries are leveraging these technologies in their respective fields to offer their customers with applications that their competitors cannot. Today, machine learning and deep learning algorithms are providing significant benefits to the medical field to identify the cancer cells more accurately from MRI scans, for example.

One of the significant differences between machine learning and deep learning is that machine learning has provided deep learning a foundation to take a step ahead of what machine learning did, using additional features. These technologies are doing wonders in various areas like retail, healthcare, manufacturing, travel, and so on.