Universal Workflow of Machine Learning

Artificial Intelpgence is trending nowadays to a greater extent. Machine learning and deep learning constitutes artificial intelpgence. The Venn diagram mentioned below explains the relationship of machine learning and deep learning.

Machine Learning

Machine learning is the art of science which 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 pke −

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 labelled data and algorithms. Each algorithm in deep learning goes through same process. It includes hierarchy of nonpnear transformation of input and uses to create a statistical model as output.

Machine learning process is defined using 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.