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Data and Differences Between AI, ML, and DL

 Data:

  • Volume - the amount of data that is being produced over any given unit of time
  • Variety - The level of deviation within your data, which can have both positive and negative effects depending on what it is you’re hoping to achieve
  • Velocity - A term referring to how quickly new data is produced. Velocity can also allude to the concept of drift, or, how quickly data underlying a model can change over time
  • Veracity - The accuracy of data that is being collected, a trait which can be affected by faulty inputs, poor organization, or a variety of other factors
  • Value - A holistic measure based on all other underlying characteristics of data and rooted in how likely the data is to help you reach your desired end state

Differences between AI, ML, and DL?

 NVIDIA: https://blogs.nvidia.com/blog/2016/07/29/whats-difference-artificial-intelligence-machine-learning-deep-learning-ai/

Source: Udacity AI for Business Leaders

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