ML quiz.pptx

Ml Quiz

1. QUIZ

2. Q1. Machine Learning is a subset of_____ A) Data Learning B) Deep Learning C) Artificial Intelligence D) None of the above

3. Q1. Machine Learning is a subset of_____ A) Data Learning B) Deep Learning C)Artificial Intelligence D) None of the above

4. Q2.How many types of Machine Learning Techniques? A)3 B)5 C)7 D) 9

5. Q2.How many types of Machine Learning Techniques? A)3 B)5 C)7 D) 9

6. Q3. What is true about Machine Learning? A)Machine Learning (ML) is that field of computer science. B)ML is a type of artificial intelligence that extract patterns out of raw data by using an algorithm or method. C)The main focus of ML is to allow computer systems learn from experience without being explicitly programmed or human intervention. D)All of the above

7. Q3. What is true about Machine Learning? A)Machine Learning (ML) is that field of computer science. B)ML is a type of artificial intelligence that extract patterns out of raw data by using an algorithm or method. C)The main focus of ML is to allow computer systems learn from experience without being explicitly programmed or human intervention. D)All of the above

8. Q4.Application of Machine learning is _____. A) email filtering B) sentimental analysis C) face recognition D) All of the above

9. Q4.Application of Machine learning is _____. A) email filtering B) sentimental analysis C) face recognition D) All of the above

10. Q5. The term machine learning was coined in which year? A)1958 B)1959 C)1960 D)1961

11. Q5. The term machine learning was coined in which year? A)1958 B)1959 C)1960 D)1961

12. Q6. The Real-world machine learning use cases are _______. A) Digital assistants B) Chabot's C) Fraud detection D) All of the above

13. Q6. The Real-world machine learning use cases are _______. A) Digital assistants B) Chabot's C) Fraud detection D) All of the above

14. Q7. Identify the type of learning in which labeled training data is used. A) Unsupervised Learning B) Supervised Learning C) Semi unsupervised Learning D) Reinforcement Learning

15. Q7. Identify the type of learning in which labeled training data is used. A) Unsupervised Learning B) Supervised Learning C) Semi unsupervised Learning D) Reinforcement Learning

16. Q8. Identify the successful applications of ML. A) Learning to classify new astronomical structures. B) Learning to recognize spoken words. C) Learning to drive an autonomous vehicle. D) All of the above

17. Q8. Identify the successful applications of ML. A) Learning to classify new astronomical structures. B) Learning to recognize spoken words. C) Learning to drive an autonomous vehicle. D) All of the above

18. Thank you