taoyuc3 Goto Github PK

api

The API supporting HackIllinois

atom

:atom: The hackable text editor

coding-interview-university

A complete computer science study plan to become a software engineer.

cs225

docs

TensorFlow documentation

ie300

Case Study

ios

The Official iOS App of HackIllinois

lab2

Starter code for the maze solution portion of Lab 2.

lab3

Project skeleton for Lab 3.

lab4

Lab 4 starter code.

lab5

Lab5 starter code.

lab6

Lab 6 starter code.

lc

Online Programming Learning and Practice

leetcode-practice

Data Structure & Algorithms practice in C++

nlp-pytorch-zh

《Natural Language Processing with PyTorch》中文翻译

prairielearn

Online problem-driving learning system

python-cheatsheet

Comprehensive Python Cheatsheet

se261

Business Sides of Engineering

serius_nus

Image-based Defect Detection and Classification in Manufacturing

site

The Official Website of HackIllinois

svm_in_ampl

This report presents the Support Vector Machine (SVM) learning algorithm. We will need to first talk about margins and the idea of separating data with a large gap. Next, we will talk about the optimal margin classifier, which will lead us to talk about the duality for the SVM. We will also implement SVMs in AMPL on random generated data with primal and dual formulations, and finally, we will close off our report with a classic iris dataset example analysis.