TCS – Interview Questions
Here is the list Data Science Interview Questions which are recently asked in TCS company. These questions are included for both Freshers and Experienced professionals. Our Data Science Training has Answered all the below Questions.
- What Are the Feature Vectors?
- Explain the Steps in Making a Decision Tree.
- What Is Root Cause Analysis?
- What Is Logistic Regression?
- What Are Recommender Systems?
- Explain Cross-Validation.
- What Is Collaborative Filtering?
- Do Gradient Descent Methods at All-Time Converge to a Similar Point?
- What Is the Goal of A/B Testing?
- What Are the Drawbacks of the Linear Model?
- What is the difference between Machine learning Vs Data Mining?
- Explain Star Schema?
- What is meant by supervised and unsupervised learning in data?
- Describe the structure of Artificial Neural Networks?
- How can you assess a good logistic model?
- What Is the Law of Large Numbers?
- What Are Confounding Variables?
- Explain Star Schema.
- How Regularly Must an Algorithm be Updated?
- What Are Eigenvalue and Eigenvector?
- Why Is Resampling Done?
- Explain Selective Bias.
- What Are the Types of Biases That Can Occur During Sampling?
- Explain Survivorship Bias.
- How Do You Work Towards a Random Forest?
- Can you name the type of biases that occur in machine learning?
- Do you think 50 small decision trees are better than a large one? Why?
- Can you write the formula to calculat R-square?
- What does NLP stand for?
- Do gradient descent methods always converge to same point?
TOP MNC's DATA SCIENCE INTERVIEW QUESTIONS & ANSWERS
Here we listed all Data Science Interview Questions and Answers which are asked in Top MNCs. Periodically we update this page with recently asked Questions, please do visit our page often and be updated in Data Science.
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