Graph Theory Courses and Certifications

AnalystPrep

SOA Exam FM - Financial Mathematics for Actuarial Exams

Master financial mathematics concepts essential for SOA Exam FM through comprehensive video lessons covering time value of money, annuities, loans, bonds, and advanced topics like duration and swaps.

• YouTube
• 7 hours 29 minutes
• Self-Paced
• Free Video

Harvard CMSA

Mathematics and Machine Learning Program - September 3 to November 1, 2024

Explore cutting-edge intersections of mathematics and AI through expert talks on theorem proving, neural networks, and automated mathematical discovery at Harvard CMSA.

• YouTube
• 2 days 18 hours 48 minutes
• Self-Paced
• Free Video

The Julia Programming Language

Julia for Data Science

Master Julia programming for data science through hands-on training in linear algebra, statistics, machine learning, neural networks, and visualization techniques.

• YouTube
• 4 hours 45 minutes
• Self-Paced
• Free Video

Aleksa Gordić - The AI Epiphany

Neural Style Transfer

Dive into neural style transfer from basic theory to advanced implementations, covering optimization and feed-forward methods with hands-on PyTorch coding examples.

• YouTube
• 1 hour 33 minutes
• Self-Paced
• Free Video

Complexity Explorer

Maximum Entropy Methods Tutorial

Discover maximum entropy methods for understanding probability distributions through practical examples including taxicab problems and real-world modeling applications.

• YouTube
• 1 hour 46 minutes
• Self-Paced
• Free Video

Sundeep Saradhi Kanthety

Data Structures Using Python

Master essential data structures through hands-on Python implementation of linked lists, stacks, queues, and search algorithms with practical coding exercises.

• YouTube
• 7 hours 40 minutes
• Self-Paced
• Free Video

Institute for Advanced Study

Computer Science and Discrete Mathematics

Explore advanced topics in discrete mathematics and theoretical computer science through expert lectures on algorithms, complexity theory, cryptography, and combinatorics.

• YouTube
• 1 month 1 day 20 hours 49 minutes
• Self-Paced
• Free Video

Institute for Advanced Study

Theory of Deep Learning - Where Next?

Explore cutting-edge theoretical foundations of deep learning through expert talks on optimization, generalization, representation learning, and neural network interpretability.

• YouTube
• 17 hours 49 minutes
• Self-Paced
• Free Video

CppNuts

Array Interview Questions - Data Structures and Algorithms Practice

Master essential array algorithms and data structures through 15 challenging interview problems, from reversing arrays to finding subarrays with given sums.

• YouTube
• 1 hour 39 minutes
• Self-Paced
• Free Video

Domain Adaptation with Invariant Representation Learning - What Transformations to Learn?

Explore domain adaptation in machine learning, focusing on invariant representation learning and its challenges. Learn about novel techniques for optimal feature mapping across domains.

• YouTube
• 58 minutes
• Self-Paced
• Free Video

Improving Computational Efficiency for Powered Descent Guidance - Stanford Seminar

Transformer-based approach improves computational efficiency for spacecraft powered descent guidance, reducing solution times and enabling advanced autonomy for future space missions.

• YouTube
• 42 minutes
• Self-Paced
• Free Video

Algorithmic Governance: Auditing Search and Recommendation Algorithms for Problematic Content

Explore algorithmic audits of YouTube and Amazon, examining misinformation in search and recommendation systems. Learn about challenges and opportunities in algorithmic governance and large language models.

• YouTube
• 56 minutes
• Self-Paced
• Free Video

Convex Optimization I - Lecture 10

Explore advanced convex optimization techniques with Stanford's Stephen Boyd. Delve into complex mathematical concepts and their practical applications in engineering and data science.

• YouTube
• 1 hour 20 minutes
• Self-Paced
• Free Video

Convex Optimization I - Lecture 9

Explore advanced convex optimization techniques with Stanford's Stephen Boyd, focusing on practical applications and theoretical foundations in electrical engineering and beyond.

• YouTube
• 1 hour 20 minutes
• Self-Paced
• Free Video

Convex Optimization I - Lecture 17

Explore advanced convex optimization techniques with Stanford's Stephen Boyd, focusing on practical applications and theoretical foundations in electrical engineering and beyond.

• YouTube
• 1 hour 17 minutes
• Self-Paced
• Free Video