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!