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Question 1

define capstone project

Answer 1

A capstone project is a project where students must
research a topic independently to find a deep
understanding of the subject matter. It gives an
opportunity for the student to integrate all their
knowledge and demonstrate it through a
comprehensive project.

Question 2

Can MSE be a negative value? Give reasons.

Answer 2

The MSE value cannot be negative. The difference
between projected and actual values are always
squared. As a result, all outcomes are either
positive or negative.

Question 3

Which of the following are the objectives of the testing team in AI modelling?
1) Model Validation
2) Security compliance
3) Understanding data
4) Minimizing bias

a. (1), (2) and (3) b. (2), (3) and (4)
c. (1), (3) and (4) d. (1), (2) and (4)

Answer 3

d. (1), (2) and (4)

Question 4

Data Validation for human biases is conducted in phase of AI Model Life
Cycle.
(a) Scoping (b) Data Collection (c ) Design (d) Testing

Answer 4

d) Testing

Question 5

Which of the following is not a feature of RMSE?
(a) It tells about the accuracy of the model.
(b) Higher value means hyper parameters need to be tweaked
(c) Lower RMSE values are not good for the AI model.
(d) RMSE is a measure of how evenly distributed residual errors are.

Answer 5

c) ) Lower RMSE values are not good for the AI model

Question 6

Techniques like descriptive statistics and visualisations can be applied to datasets
after the original data gathering to analyse the content. To close the gap,
additional data collecting may be required. Identify the stage of this analytic
approach.
(a) Data Requirements
(b) Data Gathering
(c) Data Understanding
(d) Data Preparation

Answer 6

(c) Data Understanding

Question 7

You want to predict future house prices. The price is a continuous value, and
therefore we want to do regression. Which loss function should be used here?
(a) RMSE (b) MSE (c ) Exponential error (d) MAE

Answer 7

(b) MSE

Question 8

Capstone project ideas

Answer 8

1. Stock Prices Predictor
2. Develop A Sentiment Analyzer
3. Movie Ticket Price Predictor
4. Students Results Predictor
5. Human Activity Recognition using Smartphone Data set
6. Classifying humans and animals in a photo

Question 9

AI project follows the following six steps:
understanding the problem

Answer 9

1) Problem definition i.e. Understanding the problem
2) Data gathering
3) Feature definition
4) AI model construction
5) Evaluation & refinements
6) Deployment

Question 10

Which category?

Answer 10

Classification

Question 11

How much or how many?

Answer 11

Regression

Question 12

Which group?

Answer 12

Clustering

Question 13

Is this unusual?

Answer 13

Anomaly Detection

Question 14

Which option should be taken?

Answer 14

Recommendation

Question 15

Open languages

Answer 15

python, R and scala

Question 16

Open frameworks

Answer 16

Scikitlearn, XG Boost, Tensorflow

Question 17

Approaches and techniques

Answer 17

— Classic ML techniques from regression all the way to state-of-the
art GANs and RL

Question 18

Productivity-enhancing capabilities

Answer 18

Visual modelling, AutoAI to help with feature engineering,
algorithm selection and hyperparameter optimization

Question 19

Development tools

Answer 19

DataRobot, H2O, Watson Studio, Azure ML Studio, Sagemaker, Anaconda,
etc.