PROJECT CYCLE

Question 1

Data warehousing

Answer 1

Data is always collected in bulk from various
sources using various formats. This is called
data warehousing

Question 2

Testing Data

Answer 2

• Prediction dataset
• The testing data is the final dataset which
  provides no help in terms of tag to the model
  produced

Question 3

Validating data

Answer 3

• This data is used to check if the newly developed
  model is correctly identifying the data for making
  predictions.
• • This step makes sure that the new model has not
  become specific to the primary dataset values in
  making predictions.

Question 4

Sentiment Analysis

Answer 4

The input is a sentence or a phrase from social
media feeds like twitter, facebook or customer
reviews from web sites or surveys

Question 5

The three categories of data

Answer 5

• Training Data
• Validating data
• Testing data

Question 6

Type of variable for training data

Answer 6

• Text categorization
• image recognition
• sentiment analysis
• spam detection

Question 7

What is AI ethics?

Answer 7

it is the code and conduct that an ai is supposed to follow so that all humans and machines can function in harmony.

Question 8

What is AI Bias?

Answer 8

AI bias is the underlying prejudice in data that’s used to create Al algorithms, which can ultimately result in discrimination and other social consequences.

Question 9

List the AI ethics

Answer 9

• AI Bias
• AI access
• Data privacy
• AI for kids

Question 10

Sensos in Smart Phones

Answer 10

ACCELEROMETER [ helps running AR applications and track steps]
GPS [ Location Data]
Gyroscope [Orientation Data]
Magnetometer [ Direction andMagnetic Field Data]
Biometric Sensors [Fingerprint,Iris,Face data

Question 11

Data mining

Answer 11

Process of analyzing large data sets and extracting the useful information from it.
- Data Mining is also known as KDD(Knowledge Discovery in Data).

Question 12

Data Privacy

Answer 12

Proper and ethical handling of own data or user data is called data privacy