Explanation:What is randomized search?
Random search is a technique where random combinations of the hyperparameters are used to find the best solution for the built model. It is similar to grid search, and yet it has proven to yield better results comparatively. The drawback of random search is that it yields high variance during computing.Examples of randomized search
Examples of instance-based algo- rithms include simulated annealing, genetic algorithms, and tabu search, whereas examples of model-based algorithms include ant colony optimization, stochastic gradient search, and the cross-entropy method.More Info.
Randomized search is a family of numerical optimization methods that do not require the gradient of the problem to be optimized, and RS can hence be used on functions that are not continuous or differentiable. Such optimization methods are also known as direct-search, derivative-free, or black-box methods.#CarryOnLearning#StudyHard
You can store 25 JPG files on a 2mb hard drive
1mb = 1000kb
2mb = 2000kb
2000kb / 80kb = 25
80kb * 25 = 2000kb or 2mb
Note: If there is a decimal then just remove it.
You have to anwser it on your own so ull learn how hard it is to anwser for otherss