Differentiate between Data Science , Machine Learning and AI.
Criteria | Data Science | Machine Learning | Artificial Intelligence |
| Defintion | Data Science is not exactly a subset of machine learning but it uses machine learning to analyse and make future predictions. | A subset of AI that focuses on narrow range of activities. | A wide term that focuses on applications ranging from Robotics to Text Analysis. |
| Role | It can take on a busines role. | It is a purely technical role. | It is a combination of both business and technical aspects. |
| Scope | Data Science is a broad term for diverse disciplines and is not merely about developing and training models. | Machine learning fits within the data science spectrum. | AI is a sub-field of computer science. |
| AI | Loosely integrated | Machine learning is a sub field of AI and is tightly integrated. | A sub- field of computer science consisting of various task like planning, moving around in the world, recognizing objects and sounds, speaking, translating, performing social or business transactions, creative work.. |
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