ML Concepts – Some common questions need to be answered when you start Data Processing

When you are doing any research for any purpose or performing any task related to Data Processing, you need to understand few questions before start..

When you are doing any research for any purpose or performing any task related to Data Processing, you need to understand few questions before start this. I am mentioning few here, you can also add more questions in comment box based on your experience.

  • What is Structure and Unstructured Dataset?
  • What is Primary and Secondary Dataset
  • How many vectors exist in dataset, e.g. Normal and Malicious, Good or Bad, etc.
  • What is Independent and Dependent Variables?
  • What is Attributes?
  • What is Continuous, Discrete, and Categorical variable?
  • Linear vs Non-Linear
  • What are Vectors?
  • What is Features?
  • What is target feature?
  • What is Class Label?

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About the Author

Dr Pranay Jha

Dr. Pranay Jha is a Cloud and AI Consultant with 18+ years of experience in hybrid cloud, virtualization, and enterprise infrastructure transformation. He specializes in VMware technologies, multi-cloud strategy, and Generative AI solutions. He holds a PhD in Computer Applications with research focused on Cloud and AI, has published multiple research papers, and has been a VMware vExpert since 2016 and a VMUG Community Leader.

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