Machine learning is simply a branch of AI. It’s a study of computer algorithms that automatically become better through experience. ML is one of the ways to achieve AI.
Machine learning requires large data sets to work with in order to examine and compare the information to find common patterns.
For example, if you give a machine learning program many photos of pregnancy ultrasounds together with a list of indications to identify the gender, it’s likely to learn to analyze ultrasound gender results in the future. ML programs compare different information to find common patterns and come up with correct results.
Machine learning comes with advanced sub-branches, such as deep learning and neural networks. Some people have a tendency to compare neural networks and deep learning to the way human brains operate.
However, there are many differences between them.
Overall, ML is a learning process, which the machine can achieve on its own without being explicitly programmed to do. Machine learning involves computer learning from experience.
