## Introduction to Explainable ML/AI

Explainable machine learning (XAI) is an essential technique for creating machine learning models that are transparent, unbiased, and

## Optimization Problem 5.9

Optimization_Problem_8 Problem Derive the precondition conjugate gradient by applying the standard conjugate gradient in the variables \$hat{x}\$ and

## Optimization Problem 11.3

Optimization_Problem_7 Problem Show that the newton method applied to \$r(x) = -x^5 + x^3 + 4x\$ where the

## Optimization Problem 5.5

Optimization_Problem_6 Problem Using \$beta_k = frac{r_k^TAp_{k-1}}{p_{k-1}^TAp_{k-1}}\$ verify that \$ span[r_0, …, r_k] = span[Ar_0, …, A^kr_0] \$ and

## Optimization Problem 3.0.1

Optimization_Problem_4 Problem Given a point \$x_k in mathbb{R}^n\$, a function f(x) \$ in mathbb{R}^n\$, a NxN symmetrix matrix,

## Introduction to GANS Part 2/2

Intro_to_GAN_NN_2 Now that we have a basic understanding of the underlying background of building a NN, lets talk

## Introduction to GANS Part 1/2

Untitled This introduction is assuming you have a basic understanding of Neural Networks, activation functions, and the likes.

## Descriptions of me that make me go hmmm

My friends have described me in a bunch of ways that make me go hmmmm. Here is the