Let's begin implementing the k-Nearest Neighbors algorithm. Define the distance function, which takes in two arguments: an array of numerical features (arr1), and a different array of numerical features (arr2). The function should return the Euclidean distance between the two arrays. Euclidean distance is often referred to as the straight-line distance formula that you may have learned previously.

Hassan is writing his master’s thesis, which is a thirty-page document. he received some feedback from his professor in the form of comments, but does not see where the comments are. what is the fastest way for hassan to find the feedback?

Problem 1 - hashing we would like to use initials to locate an individual. for instance, mel should locate the person mark e. lehr. note: this is all upper case. generate a hash function for the above using the numbers on your telephone. you know, each letter has a number associated with it, so examine your telephone keypad. generate 512 random 3 letter initials and take statistics on a linked list array size 512 to hold this information report how many have no elements, 1 element, 2 elements, does this agree with the hashing statistics distribution?

Select the correct answer. what does it indicate when a website displays https instead of http? a. the website is secure. b. there is no secure sockets layer. c. the secure sockets layer is hidden. d. the website is not secure.