Data Science is the application of scientific methods and algorithms to obtain knowledge from data. Crucially, Data Science involves specific intervention and input by e.g. statisticians and scientists as opposed to be being largely autonomous such as in some forms of Machine Learning.

For this reason Data Science is a distinct discipline from Machine Learning and Artificial Intelligence, despite them sometimes being grouped together.

Data science-derived algorithms when used in computers to learn from become a key part of many low level Machine Learning models, therefore in some cases Data Science and Machine Learning are closely tied. In these relationships Data Science can be viewed as the algorithm while Machine Learning can be seen as the software that facilitates the algorithm in a practical way.

For higher level Machine Learning and Artificial Intelligence systems that utilise Artificial Neural Networks, the distinction between ML/AI and Data Science is much clearer due to the fact that ANNs, such as when used in Deep Learning, are able to function with much greater autonomy and handle much more diverse types and complexities of data without the need for Data-Science derived algorithms.

Suggested supplementary reading: What is Artificial Intelligence?

Suggested supplementary reading: What is Machine Learning?

Suggested supplementary reading: What is an Artificial Neural Network?

Suggested supplementary reading: What is Deep Learning?