Data Science 2

Saisha and Akhil are on a quest to find the distance between two magical points in their enchanted forest, represented by the tuples (3, 5) and (2, 0). Can you help them calculate the Euclidean distance between these two objects?

• 5.1

• 5

• 6

• none of them

Hey there, math wizards! Vanya and Aanya are on a quest to find the Supremum distance between two magical objects represented by the tuples (3, 5) and (2, 0). Can you help them uncover the mystery of the distance? What do you think it is?

• 5

• 5.1

• 6

• none of the above

Hey there, math whizzes! Aanya, Saisha, and Prisha are having a debate about distances in geometry. They stumbled upon a term that describes the straight-line distance between two points in Euclidean space. Can you help them fill in the blank? Euclidean distance is also known as ______________

• L-1 Norm

• L-2 Norm

• L-3 Norm

• None of the above

Hey there, math whizzes! Advait and Aditi are having a friendly competition to see who can calculate the cosine similarity between two document vectors. They have d1 = (4, 0, 3) and d2 = (3, 0, 4). Can you help them find out how similar these vectors are?

• 1

• 0

• 0.96

• 0.5

Hey there, Vanya! Let's put your knowledge to the test. Which of the following is an essential process where intelligent methods are used to uncover hidden data patterns? Think carefully!

• 1. Warehousing

• 1. Data Mining

• 1. Text Mining

• 1. Data Selection

Hey Riyaan! In the world of data analysis, there's a fun term that describes the process of identifying those unusual data points that stand out from the rest. What is this exciting process called?

• bjective measures

• taxonomy formation

• anomaly mining

• subjective measures

Hey there, data enthusiasts! Can you help Avani figure out what type of clustering algorithm K-Means is? Is it a magical method of grouping data points based on their distances, or does it partition them like a pro? Let's find out!

• Distance based

• Partition based

• Density based

• Hierarchical

Hey there, data enthusiasts! Let's put your knowledge to the test. Which of the following statements are true? Choose wisely!

• Time series data can be sequence data but sequence data need not be Time series data. What do you think, Anika?

• A Good clustering method will have high intra-class similarity and low inter-class similarity. Sounds right, doesn't it, Asher?

• Similarity measure is critical for cluster analysis. Viaan, do you agree?

• Biological sequence is a Time series data. Is that a fact or fiction?

Hey there, Avni, Tisha, and Aanya! Let's put your knowledge to the test. Which of the following statements is a sneaky little lie?

• Similarity score often falls in the range [0,1]

• Proximity usually refers to either similarity or dissimilarity

• If the distance between two objects is zero means the two objects are not similar

• If the distance between two objects is zero means the two objects are very similar

Hey there, social media whiz! Imagine Aarush just posted a hilarious meme, and now we need to figure out if it gets a thumbs up or a thumbs down. Which data mining task would be the best fit for this fun scenario?

• Prediction

• Association rules

• Classification

• Clustering