What is the Difference Between Machine Learning and Deep Learning?

As the number of data sets that need to be processed by artificial intelligence systems increases, the question of how to process the information becomes increasingly complex. Deep learning uses Artificial Neural Networks and Machine Learning to handle these increasingly complicated data sets. These methods are not the same as programming, and computers are still not fully capable of complex tasks. Despite the recent advances in these technologies, it is important to understand the difference between these two types of artificial intelligence.

Machine learning

In the last decade, advances in machine learning and deep learning have made it possible for computers to perform increasingly complex tasks. Currently, machine learning applications range from forecasting stock market prices to creating evidence-based treatment plans for medical patients. Other examples of machine learning applications include Netflix and music-streaming services. The use of neural networks is also used in self-driving cars. In this article, we will explore the difference between machine learning and deep learning.