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[D] Key differences between AI, ML, Data Science and Big Data

All of the four terms (Artificial Intelligence, Machine Learning, Data Science and Big Data) are interlinked, but not interchangeable. I guess the following overview would help beginners with easily differentiating them: Everything you need to know about key differences between AI, Data Science, Machine Learning and Big Data (see the article for more details)

  • AI focuses on mimicking decision-making processes.
  • ML reaches beyond the available pieces of training information and interpret data that has never been encountered before.
  • Data science combines various methods and data of diverse volumes in order to derive useful, mostly business-oriented, insights through both structural and predictive analyses.
  • Big data doesn’t analyze but focuses on processing (with high velocity) extreme volumes and a wide variety of data types.

submitted by /u/cmstrump
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Toronto AI is a social and collaborative hub to unite AI innovators of Toronto and surrounding areas. We explore AI technologies in digital art and music, healthcare, marketing, fintech, vr, robotics and more. Toronto AI was founded by Dave MacDonald and Patrick O'Mara.