Problem No. 1. Choose the suitable option's) and you could provide explanation for t. 00 points) When we have a complex task or problem involving a larye amount of data and lots of variables, but no existing formula or equation a. We should derive formula and equation b. We should use dynamic programming or generic c. We should not use machine learning d. We could use machine learning so that we could solve this problem B. is the most common unsupervised learning technique. It is used for exploratory data analysis to find hidden patterns or groupings in data a. Classification b. Categorizing c. Clustering d. Regression learning algorithm takes a known set of input data and known responses to the ons for the response to new data. C. A/Am data (output) and trains a model to generate reasonable predicti a. Unsupervised b. Supervised c. Clustering d. All the above D. Which is the following is not the correct statement(s) a. Regression techniques predict continious responses b. Classification techniques predict discrete responses c. Clustering finds hidden patterns or intrinsic structures in data d. Clustering inputs labeled data and outputs groups/clusters of data Which is the following is not the correct statement(s) a. Support vector machine is a supervised learning technique b. Nave Bays is a supervised learning technique c. K-mean is a supervised learning technique d. Decision Tree is a regression based supervised learning technique E. Choose the correct statement(s) regarding spam email detector using machine learning a. A system with high recall for detecting good emails might leave out some good email, but it is F. b. A system with high precision for detecting good emails might let through some spam, but it c. A system with high precision for detecting good emails might leave out some good email, but d. A system with high recall for detecting good emails might let through some spam, but it also e. All of the above are correct very unlikely to let spam through also is very unlikely to miss any good email. it is very unlikely to let spam through is very unlikely to miss any good email