Difference between Machine Learning and Deep Learning

The primary difference between machine learning and deep learning is, machine learning (ML) is a subfield of artificial intelligence (AI). Machine learning algorithms are designed to mimic human decision-making processes.

On the other hand, deep learning (DL) is a subset of machine learning that uses neural networks to train computers to perform tasks such as image recognition or speech recognition.

What is Machine Learning?

Machine learning is a subfield of artificial intelligence (AI), which is a field of computer science that gives computers the ability to learn without being explicitly programmed. In simpler terms, machine learning algorithms create models that enable machines to make predictions based on past data.

Using machine learning, you can create predictive models that take into account all of the factors that affect your business, and then use that model to predict future outcomes. You can even apply these models to real-time data streams to get actionable insights in order to make informed decisions.

What is Deep Learning?

Deep learning is a subset of machine learning where neural networks are trained using backpropagation. Neural networks use layers of neurons to recognize patterns in data. These networks are inspired by how our brains work and are often utilized in tasks such as image recognition, speech recognition, and natural language processing.

Deep learning systems have two basic components: layers of non-linear computational units called neurons, and algorithms that teach these networks how to recognize patterns in data. The layers of neurons allow the system to learn abstractions and make generalizations based on previous experience, whereas the training algorithm updates the weights of synapses between the neurons.

Artificial Intelligence

Artificial intelligence (AI) is defined as a field of computer science that focuses on building intelligent machines that work and react just like people do. A machine that uses AI is called an “artificial agent” or something similar. There are different types of AI, including natural language processing, image recognition, robotics, autonomous vehicles, etc.

Machine learning vs Deep learning

The important differences between machine learning and deep learning are given below:

Machine learning	Deep learning
Machine learning is a subfield of artificial intelligence.	Deep learning is a subfield of machine learning.
It is an evaluation of AI.	It is an evaluation of machine learning.
In machine learning, more human intervention is involved in getting results.	Deep learning is more challenging to set up, deep learning requires less intervention once it is running.
Most data is required in structured form in machine learning.	Deep Learning models can work with structured and unstructured data both.
Machine learning is suitable for solving simple or little-complex problems.	Deep learning is suitable for solving complex problems.