Educational resources for self-learners
Antonio T. - University Of Minnesota TA in C/C++; 10+ years of CompSci Tutoring
In founding companies, I applied these skills to build secure, efficient software solutions, specializing in code testing, performance optimization, identifying bottlenecks, and refactoring code to prevent exploits, all with a strong...
Anurag Bhargava
Anurag Bhargava is a creator who provides tutorials and educational content, particularly in the field of engineering and design software like Advanced Design System (ADS).
Stochastic Art - Animation
This short animation explicitly explores graph theory and optimization, using the "shortest route problem" to visually demonstrate stochastic processes—a concept relevant to both programming and product design. It connects scientific modeling with art and randomness.
Stochastic Art - Animation
This short animation explicitly explores graph theory and optimization, using the "shortest route problem" to visually demonstrate stochastic processes—a concept relevant to both programming and product design. It connects scientific modeling with art and randomness.
Travelling Salesman
Four of the world's smartest mathematicians are hired by the U.S. government to solve the most elusive problem in computer science history—P vs. NP. The four have jointly created a "system" which could be the next major advancement for humanity or the downfall of society. As the mathematicians are about to sign documents that will give the government sole and private ownership of their solution, they wrestle with the moral dilemma of how their landmark discovery will be used.
The only video you need to understand Gradient Descent!!
This YouTube Short visually explains gradient descent, showing how the algorithm moves along a slope to find a minimum. It is relevant to programming and AI by focusing on the core concept used in optimization algorithms.
Maximum Education
A YouTube channel offering educational content on various subjects, including mathematics and science.
Reducing the Impact of Ship Noise on Marine Mammals
Dive into this episode of the Data Skeptic podcast, where you'll explore how mathematical optimization techniques are applied to real-world problems like reducing ship noise pollution. This discussion delves into multi-objective optimization, balancing fuel costs with environmental impact, and offers practical insights relevant to programming, product design, and making data-driven decisions in startups. It's a great way to understand the tangible applications of optimization beyond theoretical concepts.
15. Linear Programming: LP, reductions, Simplex
Lecture 15 from MIT 6.046J Design and Analysis of Algorithms, Spring 2015, by Professor Srinivas Devadas. This lecture introduces linear programming, discusses reductions to LP from other problems, and presents the Simplex method, emphasizing versatility and applications.
How Netflix Recommends Movies: Matrix Factorization
This video from Serrano.Academy explains how Netflix uses Matrix Factorization and Gradient Descent for its recommendation system. It's a great resource for understanding mathematical optimization and its application in programming, startups, psychology, and product design, with connections to graph theory.
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