Interview Questions for Cognizant Machine Learning using Python, TensorFlow, and Machine Learning

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Cognizant Machine Learning Interview Questions

Cognizant Machine Learning Interview Questions

If you’re preparing for a machine learning interview at Cognizant, you’ll want to be familiar with a variety of topics, including Python, TensorFlow, and general machine learning concepts. Here are some common interview questions you may encounter:

Python Questions:

  • What are the key differences between Python 2 and Python 3?
  • Explain the difference between a list and a tuple in Python.
  • What is a lambda function in Python and how is it used?

TensorFlow Questions:

  • What is TensorFlow and how is it used in machine learning?
  • Explain the difference between eager execution and graph execution in TensorFlow.
  • What are some common challenges you may encounter when working with TensorFlow?

Machine Learning Questions:

  • What is the difference between supervised and unsupervised learning?
  • Explain bias and variance in the context of machine learning.
  • What is overfitting and how can it be prevented?

Make sure to study these topics thoroughly before your interview at Cognizant. Good luck!

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