MDS Feb'24 Battle of Legends

Question 1

What is a key feature of Azure’s Computer Vision service?

Accepted Answer

Image recognition and analysis

Question 2

What is the difference between L1 and L2 regularization?

Accepted Answer

L1 regularization can lead to sparse models while L2 does not

Question 3

In data modeling, what does the term "feature engineering" refer to?

Accepted Answer

Transforming raw data into features that better represent the problem

Question 4

What is the main advantage of using Support Vector Machines over other classification algorithms?

Accepted Answer

SVM can handle high-dimensional spaces efficiently

Question 5

Which algorithm is commonly used in recommendation systems?

Accepted Answer

K-Nearest Neighbors

Question 6

Which activation function is commonly used in the output layer of a binary classification neural network?

Accepted Answer

Sigmoid

Question 7

What is technical debt in the context of advanced intelligence systems?

Accepted Answer

Shortcuts taken in the development process that may lead to future issues

Question 8

In boosting algorithms, how does the algorithm address errors made by previous models?

Accepted Answer

It increases the weights of the misclassified instances

Question 9

What does the term "hyperparameter tuning" refer to in machine learning?

Accepted Answer

Optimizing the parameters that are set before training a model

Question 10

Which of the following statements about the dot product of two vectors a and b is true?

Accepted Answer

a . b = 0 implies a and b are orthogonal.

Question 11

Which of the following is NOT a dimensionality reduction technique?

Accepted Answer

Decision Trees

Question 12

What is a recommendation system used for?

Accepted Answer

Suggesting products or content to users

Question 13

What does "transfer learning" enable in the context of deep learning models?

Accepted Answer

Using a pre-trained model on a new, related task

Question 14

Which of the following is a primary benefit of using Azure ML for model deployment?

Accepted Answer

Simplifies scaling and management

Question 15

What is Machine Learning primarily concerned with?

Accepted Answer

Creating algorithms that allow computers to learn from data

Question 16

Which of the following is a common task in data wrangling?

Accepted Answer

Cleaning and preparing data

Question 17

In which scenario would you use a Random Forest model?

Accepted Answer

When you want to improve accuracy by combining multiple decision trees

Question 18

What does the Hessian matrix represent in the context of a function of multiple variables?

Accepted Answer

The curvature of the function.

Question 19

Which of the following techniques is often used in advanced intelligence systems for enhancing predictive accuracy?

Accepted Answer

Ensemble Learning

Question 20

Which of the following is a characteristic of a decision tree?

Accepted Answer

It is insensitive to outliers

Questions 20