advanced-algorithms

✔ My Solutions of (Algorithmic-Toolbox ) Assignments from Coursera ( University of California San Diego ) With "Go In Depth" Part Which Contains More Details With Each of The Course Topics

Solutions to 500+ UVa Online Judge problems

This source code (in Python) is a preliminary implementation of my quadratic-time positive integer matrix multiplication.

ICS4U ISP - Group Project

Advanced library

Online Specialization in Machine Learning for beginners : it contains my solutions to the programming assignment

Ecommerce Android Application

Advanced Algorithms

Here you can find different codes form out more complex projects that will help you with the most difficult and challenging ideas that you can imagine.

Coding Ninjas

In this repository, you can find my presentations in Shahid Beheshti University during 2021-2022.

Samples of Advanced Algorithms and Data Analysis implemented in pyspark

Advanced algorithms in C

Just arbitrary precision boolean arithmetic for Rust.

Assignment from the course "Advanced Algorithms" - Implementing Horsepool Algorithm.

Series of advanced algorithms written in Java

Assignment from the course "Advanced Algorithms" - Implementing Counting Sort Algorithms.

Advanced Algorithms

📓 Computer science legend Donald Knuth once said “I don’t understand things unless I try to program them.” We also believe that the best way to learn an algorithm is to program it. However, many excellent books and online courses on algorithms, that excel in introducing algorithmic ideas, have not yet succeeded in teaching you how to implement algorithms, the crucial computer science skill that you have to master at your next job interview. We tried to fill this gap by forming a diverse team of instructors that includes world-leading experts in theoretical and applied algorithms at UCSD (Daniel Kane, Alexander Kulikov, and Pavel Pevzner), a chief data scientist at Yandex (Michael Levin), and a former software engineer at Google (Neil Rhodes). This unique combination of skills makes this Specialization different from other excellent MOOCs on algorithms that are all developed by theoretical computer scientists. While these MOOCs focus on theory, our Specialization is a mix of algorithmic theory/practice/applications with software engineering. You will learn algorithms by implementing nearly 100 coding problems in a programming language of your choice. To the best of knowledge, no other online course in Algorithms comes close to offering you a wealth of programming challenges (and puzzles!) that you may face at your next job interview. We invested over 3000 hours into designing our challenges as an alternative to multiple choice questions that you usually find in MOOCs.