MSC Technology India Assistant Vice President Learning and Development Interview Questions and Answers

Q1. Python question on list comprehension
Add your answer
Q2. Python related questions
Add your answer

Q1. About machine learning basics and on resume
Add your answer

Q1. About resume and deep learning a bit off
Add your answer

Q1. I didn't make up to HR round
Add your answer

Q1. In depth questions on every ml algorithm from supervised to un supervised algorithms
Add your answer
Q2. How to over come over fitting
Ans. 
To overcome overfitting, use techniques like cross-validation, regularization, early stopping, and increasing training data.
• Use cross-validation to evaluate model performance on different subsets of data.

• Apply regularization techniques like L1 or L2 regularization to penalize large coefficients.

• Implement early stopping to stop training when validation error starts to increase.

• Increase training data to provide more dive
Answered by AI
Add your answer
Q3. What is PCA, how to do feature selection
Ans. 
PCA is a dimensionality reduction technique used to reduce the number of features in a dataset while preserving the most important information.
• PCA stands for Principal Component Analysis

• It works by finding the directions (principal components) in which the data varies the most

• These principal components are orthogonal to each other and capture the maximum variance in the data

• Feature selection can be done by selecting th...read more
Answered by AI
Add your answer
Q4. Project based questions
Add your answer

Q1. Scenario based questions on implementing NLP use case
Add your answer

It was 1 hour coding test with 2 questions. One was easy and another was medium level coding question.

Q1. Few SQL Queries
Add your answer
Q2. Explain null hypothesis and p-value in terms of probability
Ans. 
Null hypothesis is a statement that assumes no relationship or difference between variables. P-value is the probability of obtaining results as extreme as the observed data, assuming the null hypothesis is true.
• Null hypothesis is a statement that assumes no effect or relationship between variables

• P-value is the probability of obtaining results as extreme as the observed data, assuming the null hypothesis is true

• Null hy...read more
Answered by AI
Add your answer
Q3. Explain Linear and Logistic Regression
Ans. 
Linear regression is used for predicting continuous numerical values, while logistic regression is used for predicting binary categorical values.
• Linear regression models the relationship between a dependent variable and one or more independent variables using a linear equation.

• Logistic regression models the probability of a binary outcome using a logistic function.

• Linear regression is used for tasks like predicting hou...read more
Answered by AI
Add your answer

Contain question related to aptitude, pyrhon,ml mcqs.

Q1. What is overfitting and underfitting?
Ans. 
Overfitting occurs when a model learns the training data too well, leading to poor generalization. Underfitting happens when a model is too simple to capture the underlying patterns.
• Overfitting: Model performs well on training data but poorly on unseen data. Can be caused by a model being too complex or training for too long.

• Underfitting: Model is too simple to capture the underlying patterns in the data. Results in po...read more
Answered by AI
Add your answer
Q2. Explain about your project
Add your answer

4 technical questions, 1 python code, 2 SQL, 1 Spark

It was an easy one with basic aptitude and basics of programming

Good level of coding questions

Q1. What is machine learning
Ans. 
Machine learning is a subset of artificial intelligence that involves the development of algorithms and statistical models to perform specific tasks without explicit instructions.
• Machine learning is a subset of artificial intelligence.

• It involves the development of algorithms and statistical models.

• These models are trained on data to make predictions or decisions.

• Examples include image recognition, natural language pro
Answered by AI
Add your answer
Q2. Types of machine learning and difference between ML and deep learning
Ans. 
Types of machine learning include supervised, unsupervised, and reinforcement learning. Deep learning is a subset of ML using neural networks.
• Supervised learning: Uses labeled data to make predictions, such as classification or regression.

• Unsupervised learning: Finds patterns in unlabeled data, like clustering or dimensionality reduction.

• Reinforcement learning: Learns through trial and error to maximize rewards, common...read more
Answered by AI
Add your answer

Q1. Resume questions
Add your answer