Given a loss function, any loss function, what is a concern when using any optimization algorithm for finding the minimum of that loss function? Group of answer choices Unknowingly finding a local minimum instead of a global minimum Unknowingly finding a global maximum instead of a local maximum Unknowingly finding a global minimum instead of a local minimum Unknowingly finding a local maximum instead of a global maximum

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ull T-Mobile LTE 3:04 PM 54% 4 < Вack ha1.docx b. i) supervised learning with continuous predictions; ii) supervised learning with discrete predictions; iii) unsupervised learning with discrete results; c. i) supervised learning with discrete predictions; ii) supervised learning with continuous predictions; iii) unsupervised learning with discrete results; d. All the three scenarios can be solved by unsupervised learning. Question 3 Please brainstorm and describe one machine learning task, either classification or regression, based on your own experiences and background. It should not be the demo tasks taught in class, e.g., hand digit recognition, house pricing, fish classification etc. Please design your machine learning algorithm and answer the following questions. Note that you only need to submit your plans. No source codes or results are required. Task. Please briefly explain the inputs, outputs, and your goal in general. Data preparation. Please describe how to collect dataset,…

Using LDA, compute the optimal projection line in a single dimension, for two labelled sets of 2- dimensional points given below: Class 1 = { (1,0), (1,2), (3,0), (3,2)} Class 2 = { (2,4), (3,2), (5,4), (6,2)}