What is the difference between Machine learning and Deep learning??

Answer 1

machine learning is the broad field of algorithms which allow a machine to perform task without explicitly programmed to do so by learning.
there is an algorithm in machine learning called the neural networks which mimics the human brain and it's learning capability.
deep learning is a part of neural networks in which we have layers of neurons other than input and output layers, called the hidden layers.
deep learning is used for complex tasks like image recognition, voice recognition, face recognition, etc.

Answer 2

In Machine learning, During Training machine come up with one function to classify the given input.
In Deep learning, it is neural network and it has more than one hidden layer. more hidden layer means Our learning algorithm learns very deep.

Answer 3

Machine Learning:
Machine learning uses algorithms to parse data and learn from that data, and make informed decisions based on what it has learned.
Deep Learning:
Deep learning structures algorithms in layers to create an “artificial neural network” that can learn and make intelligent decisions on its own.

Answer 4

ML models trained on data and give prediction on train data. cost function do not update here.
DL where neural networks are used to update weights and biases to decrease cost function. back propagation is used to update weights

Answer 5

Deep Learning is under Machine Learning since it falls into the broad category of algorithms that allow computers "learn" from data.

Its called deep learning because it utilizes artificial neural networks consisting of many hidden layers. So if you have a neural network consisting of one layer you can't really call that deep learning.