Artificial Intelligence Foundation and Intermediate B3 Posted bymaster July 4, 2021 Leave a comment on Artificial Intelligence Foundation and Intermediate B3 Welcome to your Artificial Intelligence Foundation and Intermediate B3 Instructions All 30 questions should be All answers are to be marked on the question paper You have 1 hour to complete this exam. Name Email 1. Enter your DOB (dd/mm/yyyy) 2. 1. Which of the following is NOT an example of Artificial Narrow Intelligence? Super-intelligent AI Agents Spam Filter AlphaGo Google Translate 3. 2. Robots are example that uses this type of machine learning. Identify the type. Supervised Learning Semi-supervised Learning Reinforcement Learning Unsupervised Learning 4. 3. What are some of the Machine Learning algorithms? Decision trees, XGboost, Google Vision API Random forests, regression (linear and logistic) but not kNN Regression, decision trees, Naive Bayes, K-Means clustering XGboost, Adaboost, regression except Naive Bayes 5. 4. Which of the following is a goal of the machine learning workflow? Investigate a business challenge Systematic arrangement of data for detailed analysis Derive answers to business challenges Determine if the data is acceptable for further investigation 6. 5. Which of the following is an example of a sharp question? How can revenue be maximized? What should you do? Which career path should you take? Which data can tell you about your business? 7. 6. Which of the following is domain-specific feature engineering? Econometric, technological, agricultural, and sociological data engineering Term Frequency-Inverse Document Frequency (TF-IDF): Text Scale Invariant Feature Transform (SIFT): Images Images, text, and audio data engineering 8. 7. Which of the following is not a performance measure, but acts as a base for almost all of the performance metrics? Confusion Matrix F1 Score Specificity Recall 9. 8. Which of the following will be used to determine Accuracy? TP & FP TP & TN TN & FP FP & FN 10. 9. Which of the following is more balanced than the arithmetic mean? Precision Sensitivity Harmonic Mean F1 Score 11. 10. What is the difference between traditional programming and machine learning? Traditional programming is based on permutations and combinations, whereas machine learning uses traditional analytics. Traditional programming considers output of the program to generate code, whereas machine learning uses data and program to generate output. Traditional programming uses software programs, whereas machine learning uses hardware solutions. Traditional programming uses hard-coded rules to make decisions, whereas machine learning learns from data. 12. 11. What are the common steps when preparing for Machine Learning implementation? Gather Data, Exploratory Data Analysis, Split-Train & Test, Select Best Model, Validate, Evaluate Split-Train & Test, Exploratory Data Analysis, Select Best Model, Gather Data, Evaluate, Validate Gather Data, Exploratory Data Analysis, Split-Train & Test, Select Best Model, Evaluate, Validate Split-Train & Test, Gather Data, Select Best Model, Evaluate, Validate, Exploratory Data Analysis 13. 12. What are the common tools that we would use for developing a Machine Learning algorithm? Python R Matplotlib Anaconda Hadoop Tensorflow Javascript 14. 13. Which Python modules are NOT used for Machine Learning? Numpy Pandas Tensorflow Scapy Theano Keras 15. 14. Which statement is not true when we use Anaconda Enterprise? It is an end-to-end platform for data science. It is FREE! It allows us to document our investigations It allows collaboration between parties. We can deploy it for production 16. 15. If you would like to start on a Machine Learning project what would be the most important aspect to think of? The accuracy of the machine learning model The Algorithm to be used for the model Identification of the business goal Data to be extracted for the machine learning model The team to be involved in the development 17. 16. How do Google, Amazon, and LinkedIn use artificial intelligence in their ecosystems? 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. 18. 17. How can AI enhance throughput and efficiency? 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. 19. 18. Which of the following is a formalization of relationships between variables in the form of mathematical equations? Deep Learning Machine Learning Statistical Analysis Statistical Model 20. 19. Train the Model is the first step of this type of machine learning. Identify the type. Supervised Learning Semi-supervised Learning Unsupervised Learning Reinforcement Learning 21. 20. Which of the following is used in classification problems where the output can be of two or more types of classes? Confusion Matrix Accuracy Precision 22. 21. A pizza chain wants to open its delivery centers across a city. Which of the model suited to perform the task? Linear Regression Decision tree kNN Statistical Classification 23. 22. What is a library in Python? Sets of available functions. Sets of available AI solution. Sets of available AI and ML solution. Sets of available methods, functions. 24. 23. What is the output of the below program? def greeting(name): print("Hello, + name) greeting("Donser'z Abica Wizer") Hello Donser'z Abica Wizer Hello Donserz Abica Wizer HelloDonser'z Abica Wizer Error EOL 25. 24. Basic workflow in Machine Learning consist of 2 Layers 7 Layers 8 Layers 4 Layers 26. 25. The below code will produce? ---------------------------- print(dataset.head(20))---------------------------- Produce first 20 records Produce last 20 records Produce first 20 column Produce last 20 column 27. 26. The below code produce? --------------------pyplot.show()-------------------- Show all the records Show graph Show logs Show Python logs 28. 27. Which of the following have computers traditionally done better than people? A. Storing Information B. Responding Flexibly C. Computing Numerically Both (A) and (C) 29. 28. What is ANI? Artificial Narrow Intelligence Artificial Neuro Intelligence Artificial Naive Intelligence Artificial Native Intelligence 30. 29. Which of the below is used in Machine Learning? A. Supervised B. Unsupervised Both A & B None of the Above 31. 30. To predict continuous values like the price of a house, which model is suitable to be used in machine learning? Linear Regression Decision tree kNN Classification 8 out of 7 Time is Up!
