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In this guide, we will learn Universal Workflow of Machine Learning. Artificial Intelligence is trending nowadays to a greater extent. Machine learning and deep learning constitutes artificial intelligence. The Venn diagram mentioned below explains the relationship of machine learning and deep learning.

Machine Learning

Machine learning is the art of science that allows computers to act as per the designed and programmed algorithms. Many researchers think machine learning is the best way to make progress towards human-level AI. It includes various types of patterns like −

• Supervised Learning Pattern
• Unsupervised Learning Pattern

Deep Learning

Deep learning is a subfield of machine learning where concerned algorithms are inspired by the structure and function of the brain called Artificial Neural Networks.

Deep learning has gained much importance through supervised learning or learning from labeled data and algorithms. Each algorithm in deep learning goes through same process. It includes a hierarchy of nonlinear transformation of input and uses to create a statistical model as output.

The machine learning process is defined using the following steps −

• Identifies relevant data sets and prepares them for analysis.
• Chooses the type of algorithm to use.
• Builds an analytical model based on the algorithm used.
• Trains the model on test data sets, revising it as needed.
• Runs the model to generate test scores.

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