![SOLVED: Write a function to generate a training set of size m. Randomly generate a weight vector w ∈ ℝ^10, normalize its length, and generate a training set (xi, yi) of size SOLVED: Write a function to generate a training set of size m. Randomly generate a weight vector w ∈ ℝ^10, normalize its length, and generate a training set (xi, yi) of size](https://cdn.numerade.com/ask_images/d438099f2f3a44dab5bf654e4d9e05d4.jpg)
SOLVED: Write a function to generate a training set of size m. Randomly generate a weight vector w ∈ ℝ^10, normalize its length, and generate a training set (xi, yi) of size
![SOLVED: Write a R program to create a vector which contains 10 random integer values between -100 and +150 SOLVED: Write a R program to create a vector which contains 10 random integer values between -100 and +150](https://cdn.numerade.com/project-universal/previews/37d89f66-be5d-4520-9272-b6f5aa47837e.gif)
SOLVED: Write a R program to create a vector which contains 10 random integer values between -100 and +150
![SOLVED: Problem 2.4 (30pts) (a) Read the documentation of the MATLAB functions "randn" and "norm". Write a MATLAB script that does the following: Generate a random vector u ∈ ℠^5, a SOLVED: Problem 2.4 (30pts) (a) Read the documentation of the MATLAB functions "randn" and "norm". Write a MATLAB script that does the following: Generate a random vector u ∈ ℠^5, a](https://cdn.numerade.com/ask_images/3fd5258147214a49b1b8e465784a5a6f.jpg)
SOLVED: Problem 2.4 (30pts) (a) Read the documentation of the MATLAB functions "randn" and "norm". Write a MATLAB script that does the following: Generate a random vector u ∈ ℠^5, a
![SOLVED: (1) Use *sample function to generate random vector that follows multinomial distribution with probability (0.2, 0.3, 0.5). (2) Without use the sample' function, generate random vector that follows multinomial distribution with SOLVED: (1) Use *sample function to generate random vector that follows multinomial distribution with probability (0.2, 0.3, 0.5). (2) Without use the sample' function, generate random vector that follows multinomial distribution with](https://cdn.numerade.com/project-universal/previews/5cc6da8d-9b74-4489-bc70-6f2527c5bbda.gif)