AI QUESTIONS

A corpus contains 12 documents. How many document vectors will be there for that corpus? a. 12 b. 1 c. 24 d. 1/12

(a) 12

The _______Sustainable Development Goals (SDGs) were launched at the United Nations Sustainable Development Summit in New York in the year 2015, forming the 2030 Agenda for Sustainable Development. (a) 17 (b) 15 (c) 13 (d) 19

(a) 17

Raunak was learning the conditions that make up the confusion matrix. He came across a scenario in which the machine that was supposed to predict an animal was always predicting not an animal. What is this condition called? (a) False Positive (b) True Positive (c) False Negative (d) True Negative

(c) False negative

Smita is working on a project that involves over a lakh of records. Which of the following should she use to make the best project? (a) Traditional programming (b) Manual processing (c) IoT (d) Neural networks

(d) Neural networks

Which of the following is the type of data used by NLP applications? (a) Images (b) Numerical data (c) Graphical data (d) Text and Speech

(d) Text and Speech

name the process of dividing whole corpus into sentences

sentence segmentation

What do we get from the "bag of words'' algorithm?

Bag of words gives us two things: 1. A vocabulary of words for the corpus 2. The frequency of these words (number of times it has occurred in the whole corpus)

Ashwat is amazed to learn about his sister Ananya who is multi-talented and has excelled in academics, music, dancing, sports and painting. He was quite curious when Ananya told him that he too possessed all these intelligences like every human being does, but only at different levels. He wondered which intelligence she was talking about. Can you help Ashwat in learning about different types of intelligences by naming and explaining any four types of intelligences?

All humans possess 9 types of intelligence but at different levels. They are: 1. Mathematical Logical Reasoning: ability to regulate, measure, and understand numerical symbols, abstraction and logic. 2. Linguistic Intelligence: Language processing skills both in terms of 11 4 5 understanding or implementation in writing or verbally. 3. Spatial Visual Intelligence : ability to perceive the visual world and the relationship of one object to another. 4. Kinesthetic Intelligence : ability that is related to how a person uses his limbs in a skilled manner. 5. Musical Intelligence : ability to recognize and create sounds, rhythms, and sound patterns. 6. Intrapersonal Intelligence : Describes how high the level of self-awareness someone has is. Starting from realizing weakness, strength, to his own feelings. 7. Existential Intelligence : An additional category of intelligence relating to religious and spiritual awareness. 8. Naturalist Intelligence : An additional category of intelligence relating to the ability to process information on the environment around us. 9. Interpersonal intelligence : ability to communicate with others by understanding other people's feelings & influence of the person.

How do you understand whether a machine/application is AI based or not? Explain with the help of an example.

Any machine that has been trained with data and can make decisions/predictions on its own can be termed as AI. Eg:The bot or the automation machine is not trained with any data is not an AI while a chatbot that understands and processes human language is an AI.

Samarth attended a seminar on Artificial Intelligence and has now been asked to write a report on his learnings from the seminar. Being a non-technical person, he understood that the AI enabled machine uses data of different formats in many of the daily based applications but failed to sync it with the right terminologies and express the details. Help Samarth define Artificial Intelligence, list the three domains of AI and the data that is used in these domains.

Artificial Intelligence (AI) refers to any technique that enables computers to mimic human intelligence i.e., make decisions, predict the future, learn and improve on its own. With respect to the type of data fed in the AI model, AI models can be broadly categorised into three domains: 1. Data sciences 2. Computer vision 3. Natural Language Processing Data Science takes input in the form of numeric and alphanumeric data. Computer Vision takes input in the form of images and videos. Natural Language Processing takes input in the form of text and speech.

What is wage employment?

Wage employed people are people who work for a person or an organization and get paid for that work.

_____________ is used to record the result of comparison between the prediction and reality. It is not an evaluation metric but a record which can help in evaluation.

Confusion Matrix

Ayushi was learning about NLP. She wanted to know the term used for the whole textual data from all the documents altogether. Help her in identifying the term used for it

Corpus

how food is one of the major problem related to sustainable development

Food: The amount of rich, fertile land needed to grow crops, such as wheat, rice, etc., is becoming less as we are using up more and more land for other purposes. Soil nutrients are also getting depleted and lots of chemicals are spoiling the soil due to use of chemical fertilisers.

What do entrepreneurs do when they run their business? Mention any two points.

Fulfill Customer Needs, Use Local Materials ,Help Society Create Jobs ,Sharing of Wealth, Lower Price of Products

_________________ and ______________ are AI based applications that help us in navigation.

Google maps, Ola, Uber etc.

What will be the results of conversion of the term, 'happily' in the process of stemming and lemmatization? Which process takes longer time for execution?

Here, removing -ly didn't get a complete meaning to the word happi. Lemmatization is also removing the affixes but it gives a complete meaning. Here, removing -ly and adding -y gives a complete meaning to the word happy. Lemmatization takes some time rather than stemming as it gives words with meaning.

In SMART goals, what does 'A' stand for? Explain.

In SMART goals, A refers for Achievable, it means breaking down big goals into smaller parts will make the goal achievable. For example Bigger Goal: "I want to become a teacher in my school." Breaking it into smaller goals: Complete higher secondary Complete Graduation Complete B.Ed. Apply for jobs in the teaching field

If you do an image search for vacations on a popular search engine, the first few searches mostly return the picture of beaches. What is the concern here? Explain

In the given scenario, we are concerned about the bias. When we talk about a machine, we know that it is artificial and cannot think on its own. It can have intelligence, but we cannot expect a machine to have any biases of its own. Any bias can transfer from the developer to the machine while the algorithm is being developed.

People of a village are totally dependent on the farmers for their daily food items. Farmers grow new seeds by checking the weather conditions every year. An AI model is being deployed in the village which predicts the chances of heavy rain to alert farmers which helps them in doing the farming at the right time. Which evaluation parameter out of precision, recall and F1 Score is best to evaluate the performance of this AI model? Explain.

Let us take each of the factor into consideration at once, If precision is considered, FN cases will not be taken into account, so it will be of great loss as if the machine will predict there will be no heavy rain, but if the rain occurred, it will be a big monetary loss due to damage to crops. If only recall is considered, then FP cases will not be taken into account. This situation will also cause a big amount of loss, as all people of the village are dependent on farmers for food, and if the model predicts there will be heavy rain and the farmers may not grow crops, it will affect the basic needs of the people. Hence F1 Score is the best suited parameter to test this AI model, which is the balance between Precision and Recall.

"This type of intelligence measure's one's awareness of the natural world around them and their sensitivities to any changes that occur. It allows us to identify the variation among two different species and understand how they are related". Identify the type of intelligence described in the above sentence.

Naturalist Intelligence

Neural networks are said to be modelled the way how neurons in the human brain behave. A similar system is mimicked by the AI machine to perform certain tasks. Explain how neural networks work in an AI model and mention any three features of Neural Networks.

Neural networks are loosely modelled after how neurons in the human brain behave. The features of a neural network are : 1. They are able to extract data features automatically without needing the input of the programmer. 2. A neural network is essentially a system of organizing machine learning algorithms to perform certain tasks. 3. It is a fast and efficient way to solve problems for which the dataset is very large, such as in images

__________ helps us to summarise all the key points into one single Template so that in future, whenever there is a need to look back at the basis of the problem, we can take a look at this and understand the key elements of it.

Problem Statement Template

Identify the type of chatbot with the information given below: These bots work on pre-programmed instructions inside the application/machine and are generally easy to develop. They are deployed in the customer care section of various companies. Their job is to answer some basic queries that they are coded for and connect them to human executives once they are unable to handle the conversation

Script bot

Suhana works for a company wherein she was assigned the task of developing a project using AI project cycle. She knew that the first stage was scoping the problem. Help her list the remaining stages that she must go through to develop the project.

Steps of AI project life cycle: 1. Data Acquisition 2. Data Exploration 3. Modelling 4. Evaluation

What is the full form of TF-IDF?

Term Frequency Inverse Document Frequency

_______________ helps in assigning a predefined category to a document, organize it in such a way that helps customers to find information they want. For example spam filtering in email, auto tagging on social media, categorization of news articles etc

Text classification

Sameera is always punctual at school. She has a regular schedule that she follows every day. She plans for study and play time in advance. Enlist the four steps Sameera must have followed for effective time management.

The four steps of effective time management which Sameera must have followed are: (i) Organise (ii) Prioritise (iii) Control (iv) Track

Raj has a small convenience store in his locality. There are many other convenience stores in the area. Yet, Raj's store survives the competition and does well. Which stage of an entrepreneur's career process can you relate this to? Explain.

This stage is the Survive stage of an entrepreneur's career process. In this stage, even if there are many entrepreneurs in the market, the new entrepreneur has to remain in a competitive market.

Enlist any two methods to protect our data on the computer.

Two methods to protect our data on the computer: 1. Use passwords to login to your computer. 2. Install Anti-virus and Firewall 3. Encrypt Data 4. Secure sites