Artificial Intelligence is an increasingly popular trend today. Machine learning and deep learning form part of artificial intelligence. The Venn diagram mentioned below explains the relationship between machine learning and deep learning.
Machine Learning
Machine learning is the scientific art that allows computers to act according to designed and programmed algorithms. Many researchers believe machine learning is the best way to make progress toward human-level artificial intelligence. It includes various types of patterns as described below:
- Supervised learning mode
- Unsupervised learning mode
- Deep learning
Deep Learning
Deep learning is a subfield of machine learning in which algorithms are inspired by the structure and function of the brain and are called artificial neural networks.
Deep learning has gained a lot of importance through supervised learning or learning from labeled data and algorithms. Every algorithm in deep learning goes through the same process. It consists of hierarchies that apply nonlinear transformations to inputs and use them to create a statistical model as output.
A machine learning process can be defined using the following steps:
1. Identify relevant data sets and prepare them for analysis.
2. Select the type of algorithm to use.
3. Build an analytical model based on the algorithm used.
4. Train the model on the test data set and make corrections if necessary.
5. Run the model to generate test scores.