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**Gradient** descent is simply used in machine learning to find the values of a function's parameters** (coefficients)** that minimize a cost function as far as possible. You start by defining the initial parameter's values and from there gradient descent uses calculus to iteratively adjust the values so they minimize the given cost-function. Hi, did anyone solve the amazon OA **optimizing** **weight** **boxes** question? I attempted to do it myself, but didn't get that far. I am using C++ STL vectors. Please help. What’s the question specifically asking? You shouldn’t ask here, bruh. It's a sample question. Not the actual test. It's going to be either binary search, sliding window, or DP.. The Optimize **Weights** (Forward) operator calculates the **weights** of the attributes of the given ExampleSet by using the performance vector returned by the subprocess. The higher the **weight** of an attribute, the more relevant it is considered. This operator performs the weighting under the naive assumption that the features are independent from. Feb 10, 2015 · **Gurobi** C# **optimization** of **box** packing. double [,] boxDimensions = new double [,] { {8}, {15}, {30}, {40}, {50}}; double [,] productDimensions = new double [,] { { 5 }, { 10 }, { 20 } }; I want to choose **box** with minumum volume which all products will be fitted in. I wrote the following code and I know that I should add constraint to choose only .... **Gradient** descent is simply used in machine learning to find the values of a function's parameters** (coefficients)** that minimize a cost function as far as possible. You start by defining the initial parameter's values and from there gradient descent uses calculus to iteratively adjust the values so they minimize the given cost-function. only for practicing, not for following. Secondary packaging is the packaging that holds together the individual units of a good. It is designed not so much to hold the good (that is the job of the primary packaging) so much as a means to deliver mass quantities of the good to the point of sale or end user. Secondary packaging may be removed from the item without changing the. Solution is as follows: - Count the number of occurrences of the "balloon" letters in the input string - For "l" and "o", divide the count by 2 - If the balloon string is not fully covered, return 0 - Return the min number across all occurrences Code is below, cheers, ACC. public class Solution {.