Although the phrases Data Science vs Machine Learning vs Artificial Intelligence would possibly be associated and interconnected, each of them are special in their very own ways and are used for exceptional purposes. Data Science is an extensive-term, and Machine Learning falls within it. Here’s the key difference between the terms.

Artificial Intelligence

Includes Machine Learning. 

Artificial Intelligence combines large quantities of statistics via iterative processing and smart algorithms to help computers learn automatically.

Artificial Intelligence uses logic and decision trees. 

Chatbots and Voice assistants are popular applications of AI. 

Some of the popular tools that AI uses are -

  • TensorFlow
  • Scikit Learn
  • Keras

Machine Learning

Subset of Artificial Intelligence

Machine Learning makes use of environment friendly applications that can use records besides being explicitly informed to do so.

Machine Learning uses statistical models.

Recommendation Systems such as Spotify, and Facial Recognition are famous examples

The popular tools that Machine Learning makes use of are -

  • Amazon Lex
  • IBM Watson Studio
  • Microsoft Azure ML Studio

Data Science

Includes various Data Operations.

Data Science works by using sourcing, cleaning, and processing data to extract that means out of it for analytical purposes.

Data Science deals with structured and unstructured data.

Fraud Detection and Healthcare analysis are popular examples of Data Science.

Some of the popular tools used by Data Science are

  • SAS
  • Tableau
  • Apache Spark