Machine Learning

Welcome to our Machine Learning category, your hub for cutting-edge AI, ML, and data science content! Explore in-depth blog posts, tutorials, quizzes, and practical guides on topics such as Supervised & unsupervised learning, Neural networks & deep learning, Model evaluation & optimization, and Real-world ML applications. Whether you are a student, data scientist, researcher, or tech enthusiast, find free quizzes, interview preparations, and the latest ML trends here. Test your knowledge, learn new skills, and stay ahead in AI!

Generative AI MCQs Test 11

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Generative AI MCQs Test – Ace your data science interviews & exams with 20 key multiple-choice questions on Generative AI! Covering LLMs, GANs, ChatGPT, Data Visualization, SQL prompts, Copilot, DataRobot, and more. Perfect for data scientists, analysts, and statisticians preparing for AI/ML assessments. Test your knowledge by taking the Quiz Generative AI MCQs Test now!

Generative AI MCQs Test with Answers

Online Generative AI MCQS Test with Answers

1. Which feature of Copilot enables correlations and new formulae in Excel?

 
 
 
 

2. Which prompt will generate the following query:
SELECT COUNT(*) FROM Boston_house_prices

 
 
 
 

3. Which of the following is an organizational challenge while using generative AI?

 
 
 
 

4. How does generative AI help in creating interactive visualizations and storytelling?

 
 
 
 

5. What is Generative AI?

 
 
 
 

6. How does generative AI solve the challenge of limited data availability?

 
 
 
 

7. How can you use visualization in a generative AI tool to verify outliers?

 
 
 
 

8. What does “LLM” stand for in Generative AI?

 
 
 
 

9. Which storytelling aspect provides the data perspective to explain its relevance to the goals?

 
 
 
 

10. How does Generative AI contribute to addressing the challenges faced by data scientists, researchers, and analysts when exploring significant data patterns and insights?

 
 
 
 

11. Which tool is an embeddable analytics conversational chat service that enables business users to explore data for insights using natural language inquiries?

 
 
 
 

12. Which of the following techniques of model consideration can improve interpretability?

 
 
 
 

13. Imagine you are working with generative AI to create new instances of data that resemble your original dataset’s patterns. Which model would you choose as the foundational deep learning approach for this task?

 
 
 
 
 

14. Which of the following features in data analysis plots a pair plot consisting of an analysis of all pairs of data attributes?

 
 
 
 

15. How does generative AI help in transforming data representation?

 
 
 
 

16. Which Python-based tool can interact with large language models (LLMs) like ChatGPT to create interactive and customizable dashboards?

 
 
 
 

17. Which is the best definition of generative AI?

 
 
 
 

18. Which technique is commonly used in Generative AI for image creation?

 
 
 
 

19. Which of the following is a popular Generative AI model for text generation?

 
 
 
 

20. DataRobot uses which Generative AI technique to provide comprehensive training data?

 
 
 
 

Question 1 of 20

Online Generative AI MCQs Test with Answers

  • Which of the following features in data analysis plots a pair plot consisting of an analysis of all pairs of data attributes?
  • How can you use visualization in a generative AI tool to verify outliers?
  • Which prompt will generate the following query: SELECT COUNT(*) FROM Boston_house_prices
  • Which tool is an embeddable analytics conversational chat service that enables business users to explore data for insights using natural language inquiries?
  • Which of the following techniques of model consideration can improve interpretability?
  • Which of the following is an organizational challenge while using generative AI?
  • Which Python-based tool can interact with large language models (LLMs) like ChatGPT to create interactive and customizable dashboards?
  • Which storytelling aspect provides the data perspective to explain its relevance to the goals?
  • Which feature of Copilot enables correlations and new formulae in Excel?
  • Which is the best definition of generative AI?
  • How does generative AI solve the challenge of limited data availability?
  • How does generative AI help in creating interactive visualizations and storytelling?
  • DataRobot uses which Generative AI technique to provide comprehensive training data?
  • How does generative AI help in transforming data representation?
  • How does Generative AI contribute to addressing the challenges faced by data scientists, researchers, and analysts when exploring significant data patterns and insights?
  • Imagine you are working with generative AI to create new instances of data that resemble your original dataset’s patterns. Which model would you choose as the foundational deep learning approach for this task?
  • What is Generative AI?
  • Which of the following is a popular Generative AI model for text generation?
  • What does “LLM” stand for in Generative AI?
  • Which technique is commonly used in Generative AI for image creation?

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Machine Learning MCQs 10

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Master Machine Learning MCQS fundamentals with this interactive quiz! The machine learning MCQs test covers supervised learning, neural networks, and recommendation systems.. Test your understanding of key topics like labeled datasets, unsupervised learning, recommender systems, and gradient boosting. Take the Machine Learning MCQs Quiz and level up your skills!

Online Machine Learning MCQs with answers
Please go to Machine Learning MCQs 10 to view the test

Online Machine Learning MCQs with Answers

  • Structured data refers to
  • Unstructured data includes
  • Supervised learning requires
  • Which is an example of unsupervised learning?
  • ML can automate
  • Recommender systems (e.g., Netflix) use
  • Decision trees are used for
  • A neural network is best suited for
  • Supervised machine learning uses labeled datasets to train ————– to classify or predict outcomes
  • Machine learning involves using algorithms and ————— to teach computer systems to analyze and discover patterns in data.
  • Which approach to machine learning involves rewarding or punishing a computer’s behaviors?
  • Content-based filtering is a recommendation system in which recommendations are made based on —————- of the attributes of the content.
  • What term describes the subclass of machine learning algorithms that offers relevant suggestions to users?
  • When several users actively like or dislike content by rating it or giving it a review, this enables ————– filtering.
  • In recommendation systems, what term describes the phenomenon of more well-known items being recommended too frequently?
  • What are some benefits of boosting?
  • Which of the following statements correctly describes gradient boosting?
  • What are some benefits of boosting?
  • Which of the following statements correctly describes gradient boosting?
  • Which term best describes the statement, “a subset of AI that uses computer algorithms to analyze data and make intelligent decisions based on what it has learned without being explicitly programmed”?

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Online Generative AI MCQs 9

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Test your AI knowledge with Generative AI MCQs covering SQL query generation, data visualization, storytelling tools, bias detection, data augmentation, and ethical AI practices. Perfect for interviews, exams, and upskilling in AI, ChatGPT, and machine learning. Boost your expertise today! Ace exams, interviews, and AI projects with practical quiz questions! Let us start with the Online Generative AI MCQs now.

Online Generative AI MCQs with Answers
Please go to Online Generative AI MCQs 9 to view the test

Online Generative AI MCQs with Answers

  • Which of the following SQL queries will be generated if you type “What is the count of rows in the Boston_house_price data set” in the prompt box of a generative AI SQL query tool?
  • Which is the most suitable prompt to generate a bar chart showing the average sales by area?
  • Which tool can create graphs and charts with GPT-4 through specialized prompt engineering?
  • You want to use a storytelling tool that enables you to use conversational prompts to enhance content creation and refine narrative elements, such as titles, headings, bullet points, introductions, and conclusions. Which tool would be most appropriate?
  • Which aspect of storytelling helps to give your narrative a clear and consistent structure?
  • What is a key consideration under model considerations?
  • Which technique can be used to check for biased loan approvals in the finance industry?
  • Which feature of ChatGPT is used in dashboard creation?
  • Which tool automatically cleans the inconsistencies and offers auto-analysis and customizable dashboards with GDPR/PDPA-compliant features?
  • Which storytelling tool converts text-based documents, PDFs, or URLs into slides?
  • Which aspect of storytelling helps to explain the relevance of data to the goals?
  • Which ethical technique should data scientists use to check the data for potential biases in the finance industry?
  • Training and running generative AI models can be computationally expensive, requiring specialized hardware and software infrastructure. Under which category does this challenge come?
  • Which generative AI tool uses data augmentation techniques to improve machine learning models’ performance?
  • How does generative AI enhance the extraction of insights from data?
  • Which of the following can enhance data preparation with generative AI?
  • Which of the following is the definition of ‘data augmentation’?
  • Which generative AI tool can augment structured data sets?
  • Which prompt can you use for the following query: SELECT AVG(AGE) FROM Boston_house_price
  • Which of the following tools can be used to augment image data sets by generating high-resolution, realistic images?

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