What Are The Differences Between Machine Learning And Deep Learning?
Firstly, we need to know what is Machine Learning. Machine Learning is a branch of Computer Science where it provides algorithms the ability to run and learn themselves from the data/experience it has. It does tweaks itself based on past experiences to find accurate results. It needs data that is used for structured/labeled form. It is a subset of AI(Artificial Intelligence). Deep Learning is similar to Machine Learning but it has multiple layers of neural networks where each layer consists of algorithms. Deep learning algorithms can learn themselves without human intervention. This can have any form of data for training and it also results from It is a subset of Machine Learning which in turn is a subset of AI. Deep Learning is inspired by the human brain's neural network. It works similar to the human brain which makes it a trustworthy technology. Major Differences between Machine Learning and Deep Learning are: Human Involvement: In Machine Learning algorithms a human needs to i