Introduction to AI -Assessment (#0005)

Source: Deep Learning on Medium

Introduction to AI -Assessment (#0005)

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HOW TO BECOME AN ARTIFICIAL ENGINEER!

  1. Artificial Intelligence Engineer (###1)
  2. Introduction to Artificial Intelligence (###2)
  3. Decoding Artificial Intelligence (###3)
  4. Fundamentals of Machine Learning (ML), Deep Learning (DL) and Artificial Neural Networks (ANN) (###4)

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1. How do Google, Amazon, and LinkedIn use artificial intelligence in their ecosystems?

SELECT THE CORRECT ANSWER

Google, Amazon, and LinkedIn do not use artificial intelligence.

Google and LinkedIn use AI through their offerings, but Amazon does not use AI.

Google and Amazon use AI, and LinkedIn is in the process of incorporating AI.

Amazon uses AI in Alexa and AI Everywhere; Google uses AI in Vision API and Google Translate, whereas LinkedIn uses AI in the entire job application process.

Correct Option:(4)

EXPLANATION
In case of LinkedIn, machine learning helps the platform and enhances the reach of jobs to the right people. Also, it helps in keeping track of the talent pool. Google uses AI in Vision API and Google Translate. Amazon uses AI in Alexa, Brainier Cloud, and AI Everywhere.

2. Which of the following is true of Artificial General Intelligence?

SELECT THE CORRECT ANSWER

It comprises systems that are masters at every skill, subject, or discipline.

It is limited to one or two functional areas.

It comprises systems with human-level intelligence, reasoning, thinking, and decision-making.

It comprises systems that are faster than the smartest humans.

Correct Option:(3)

EXPLANATION
AGI comprises multipurpose systems with human-level intelligence, reasoning, thinking, and decision-making and come with an ability to synthesize diverse information and decide actions.

3. How can AI enhance throughput and efficiency?

SELECT THE CORRECT ANSWER

AI systems will be designed to monitor specific areas and situations.

Self-driving cars will have a combination of sensors, cameras, radar, and artificial intelligence technology.

AI platforms will provide real-time insights, combined with the explosion of computing power, to diagnose and treat patients.

Infusing telemedicine platforms with machine learning algorithms will mean better diagnoses with less human effort.

Correct Option:(2)

EXPLANATION
Self-driving cars have a combination of sensors, cameras, radar, and artificial intelligence technology. They are capable of sensing the environment and navigating without any human intervention.

4. Which of these services using AI is an example of improving side demand management?

SELECT THE CORRECT ANSWER

Litterati, a crowdsourced litter cleanup app that works with companies and organizations to find more sustainable solutions

Alphabet Nest, a US-based startup that learns a home occupant’s habits and thereby reduces energy consumption

Your.MD, a digital healthtech company that provides users with personalized health information via a chatbot

Snapchat, a social media app that offers a Smart Filters feature to differentiate between images of pets, sports, food etc.

Correct Option:(2)

EXPLANATION
A high-value application of Artificial intelligence is around demand management. It includes energy efficiency, demand-side management, and demand response. Alphabet Nest is a US-based startup that uses AI to learn a home occupant’s habits. Then, control the home’s temperature by adjusting the cooling and heating thermostat. The end result is a reduction in energy consumption. Resulting in cost savings for the homeowner and reduction on greenhouse gas emissions.

5. How does Soli, a small chip developed by Google that can be embedded into wearables, phones, computers, cars, and IoT devices, use AI?

SELECT THE CORRECT ANSWER

1. It is a miniature radar that detects touchless gesture interactions.

It connects home devices to better manage the supply and demand factor.

It records users’ symptoms and matches them with a map of clinical data about illnesses.

It securely transmits captured images to the cloud software platform for analysis.

Correct Option:(1)

EXPLANATION
It is a miniature radar that detects touchless gesture interactions. The Soli chip incorporates the entire sensor and antenna array into a compact 8mm x 10mm package. Soli uses the concept of virtual tools, which are gestures that mimic physical interactions with devices.

6. Which of the following is a formalization of relationships between variables in the form of mathematical equations?

SELECT THE CORRECT ANSWER

Deep Learning

Machine Learning

Statistical analysis

Statistical model

Correct Option:(4)

EXPLANATION
Statistical analysis involves collecting and scrutinizing the data sample to identify trends. A statistical model is a formalization of relationships between variables in the form of mathematical equations.

7. Which of these activities takes place in the testing phase within machine learning?

SELECT THE CORRECT ANSWER

Labeled data is fed as input into the algorithm along with the expected output or labels.

The system classifies the test data based on the patterns learned from the training data.

The algorithm studies the data patterns and works out a conclusion based on the input and output training data.

A machine learning model is derived, to be used with test datasets.

Correct Option:(2)

EXPLANATION
In the testing phase, the test data contains only the inputs and the output is generated by the system based on the logic derived from the training data. The system classifies the test data based on the patterns learned from the training data. The patterns from the test data and the logic of the learned model are used to make predictions and derive output.

8. Train the Model is the first step of this type of machine learning. Identify the type.

SELECT THE CORRECT ANSWER

Supervised learning

Semi-supervised learning

Unsupervised learning

Reinforcement learning

Correct Option:(1)

EXPLANATION
In supervised learning, it is imperative that the training data includes the desired output as well. In the first step, we supply photos of apples to a system, letting it know what apples look like. This is called labeled data.

9. Which of the these machine learning types uses a combination of labeled and unlabeled data?

SELECT THE CORRECT ANSWER

Supervised learning

Semi-supervised learning

Unsupervised learning

Reinforcement learning

Correct Option:(2)

EXPLANATION
Semi-supervised learning is when the training data includes some of the desired outputs. It is a hybrid approach and a combination of supervised and unsupervised learning. It uses a combination of labeled and unlabeled data.

10. Identify the two main types of supervised learning.

SELECT THE CORRECT ANSWER

Clustering and classification

Regression and dimensionailty reduction

Regression and classification

Clustering and association analysis

Correct Option:(3)

EXPLANATION
The two main types of supervised learning that use labeled data are regression and classification.

11. Which is the 1st step of the machine learning workflow?

SELECT THE CORRECT ANSWER

Check for Quality

Get More Data

Use the Answer

Correct Option:(2)

EXPLANATION
The first step in the machine learning workflow is data collection. Data can be collected in different formats. The data collected is used to investigate a business challenge.

12. In the Add Data to the Table step, which of the following activities takes place?

SELECT THE CORRECT ANSWER

Analyze if the answer we have obtained is clear

Make sense out of the data, especially when there are multiple features.

Determine if the data is acceptable for further investigation.

Aggregate, distribute, compute, or measure to derive data analysis.

Correct Option:(4)

EXPLANATION
The final step in adding data to the table is to aggregate, distribute, compute, or measure to derive a data analysis.

13. There are plenty of ways to use the answer that we receive. Identify one from the options given below.

SELECT THE CORRECT ANSWER

Multiplying the observations of various features

Constructing a dashboard on power BI

Focusing on all observations for a particular column or feature

Evaluating each data component

Correct Option:(2)

EXPLANATION
There are plenty of ways to use the answer that we receive. Some of the methods for using the answers are as follows: Making a decision Proposing the price of an item Publishing the results obtained as a part of research paper Constructing a dashboard on power BI, and Making changes to product features

14. “Which shoppers purchase similar products?” Given here is an example of a question. Which question type does this example fall under?

SELECT THE CORRECT ANSWER

Which category?

Which group?

Which action?

Does this look strange?

Correct Option:(2)

EXPLANATION
Examples of different question types in question type 3, which is Which group?, are: — Which shopper has similar product taste? — Which group of viewers like horror movies? — How best can you divide this book into ten topics?

15. Which of the following is true of model accuracy and model performance?

SELECT THE CORRECT ANSWER

Model performance is maximized when precision and recall are maximized.

Model accuracy is a subset of model performance and can be addressed or maximized.

There are models with higher accuracy that can perform worse in predictive power. It has everything to do with how model accuracy is only a subset of model performance.

Confusion matrix is the key for model performance and is determined by accuracy. The more the accuracy, the better the model.

Correct Option:(1)

EXPLANATION
There are models with higher accuracy that can perform worse in predictive power. it has everything to do with how model accuracy is only a subset of model performance.

16. Which of the following helps you in assessing machine learning algorithms?

SELECT THE CORRECT ANSWER

K-Means Clustering

Linear Regression

Data Analysis

Performance Metrics

Correct Option:(4)

EXPLANATION
Performance metrics help you in assessing the machine learning algorithms. Machine learning models are evaluated against your selected performance measures. Performance metrics also help in evaluating the efficiency and accuracy of the machine learning models.

17.Which of the following is used in classification problems where the output can be of two or more types of classes?

SELECT THE CORRECT ANSWER

Confusion matrix

Accuracy

Precision

Sensitivity

Correct Option:(1)

EXPLANATION
The confusion matrix is one of the most intuitive and easiest matrix used to find correctness and accuracy of machine learning models. It is used in classification problems where the output can be of two or more types of classes.

18. Which of the following is the definition of accuracy?

SELECT THE CORRECT ANSWER

The proportion of actual negatives that are correctly identified

The closeness of two or more measurements

The total number of correct predictions made out of all the predictions

The proportion of actual positives that are correctly identified

Correct Option:(3)

EXPLANATION
In classification problems, accuracy is defined as the total number of correct predictions made by the model out of all the predictions.

19. What is the average used when x and y are equal?

SELECT THE CORRECT ANSWER

Arithmetic Mean

Harmonic mean

Recall

Precision

Correct Option:(2)

EXPLANATION
Harmonic mean is an average that is used when x and y are equal. When x and y are different, it’s closer to the smaller number as compared to the larger number.

20. Identify a set of algorithms that have set new records in accuracy for many important problems, such as image recognition, recommender system etc.

SELECT THE CORRECT ANSWER

Convolutional Neural Networks

Perceptron

Artificial Neural Networks

Deep Neural Networks

Correct Option:(4)

EXPLANATION
Deep Neural Networks or DNNs are a set of algorithms that have set new records in accuracy for many important problems, such as image recognition, recommended system etc. The DNN algorithms are arranged in layers and they learn patterns of the patterns. DNNs use techniques that mimic the human brain.