Courses from 1000+ universities
17 years ago, Krishna Kumar started offering free PMP prep online. Today, it’s a leading digital upskilling platform that helps millions upskill in AI, cybersecurity, data science, and more.
600 Free Google Certifications
SQL
Data Visualization
Graphic Design
Introduction to Indoor Air Quality
Greening the Economy: Sustainable Cities
Cryptography I
Organize and share your learning with Class Central Lists.
View our Lists Showcase
Explore the Short Integer Solutions Problem, its cryptographic applications, and connections to lattice-based algorithms, complexity, and security in this advanced mathematical lecture.
Explore fundamental concepts and applications of lattice theory in algorithms, complexity, and cryptography with expert insights from UC San Diego researcher Daniele Micciancio.
Explore Algorand's innovative blockchain technology with founder Silvio Micali, discussing its potential to revolutionize digital transactions and decentralized systems.
Explore modular techniques for creating efficient zero-knowledge proofs, focusing on probabilistically checkable and interactive proof systems in cryptography.
Explore algorithmic opportunities in matching markets, focusing on innovative approaches and their potential impact on economic efficiency and social welfare.
Explore dynamically stable matching theory and its applications in economics and computer science, focusing on algorithmic approaches and market design implications.
Explore zero-knowledge proofs, focusing on the discrete logarithm problem. Learn about range proofs, polynomial commitments, and R1CS representation in this advanced cryptography lecture.
Explore the foundations of interactive proofs with Justin Thaler, delving into their significance for consensus and decentralized systems in modern society.
Explore cutting-edge techniques in meta-learning for optimizers and update rules, focusing on advancements in deep learning and their applications in AI research.
Explore techniques for interpreting deep neural networks, focusing on methods to understand and explain their decision-making processes and internal representations.
Explore adversarial perturbations in deep learning, their impact on ML models, and new perspectives on robustness, transferability, and data efficiency in AI systems.
Explore deep learning optimization and generalization through gradient descent trajectories, uncovering insights into neural network behavior and performance.
Explore high-dimensional expanders, their applications in error-correcting codes, and the motivations behind this emerging field of mathematics and computer science.
Explore the intersection of algorithms and law with experts discussing implications, challenges, and potential solutions in this thought-provoking panel discussion.
Explore racial bias in data, examining tensions between quantitative and qualitative approaches. Experts discuss implications for fairness and accuracy in research and decision-making.
Get personalized course recommendations, track subjects and courses with reminders, and more.