Courses from 1000+ universities
Class Central experiments with cataloging online courses from California Community Colleges, offering diverse, affordable, and credit-worthy learning opportunities.
600 Free Google Certifications
Artificial Intelligence
Psychology
Web Development
Comprendere la filosofia
Perdón y reconciliación: cómo sanar heridas
Arab-Islamic History: From Tribes to Empires
Organize and share your learning with Class Central Lists.
View our Lists Showcase
Explore generative block programming in MIT App Inventor, showcasing innovative approaches to app development and coding education.
Explora algoritmos adaptativos y estrategias de muestreo para optimización bayesiana robusta, abordando desafÃos de incertidumbre, perturbaciones y ataques adversarios en aplicaciones del mundo real.
Discover strategies for rapidly developing large-scale Go projects, focusing on efficient coding techniques and best practices for high-volume code production.
Explore BlocksCAD, a tool combining math, coding, and design. Learn about simple projects, collaborative work, and teacher resources for engaging STEM education.
Explore Blockly themes for enhanced accessibility, focusing on color vision deficiency. Learn customization techniques to improve visual programming experiences.
Explore performance improvements in Blockly, focusing on App Inventor's migration and optimization strategies for handling large-scale block-based programming projects.
Explore Cubi, an extension of Blockly designed to empower teachers with enhanced coding education tools and resources for their classrooms.
Explore MakeCode's user onboarding strategies, UX principles, and implementation techniques for visual programming environments, with insights on user testing and future plans.
Explore the evolution and future prospects of Blockly generators, focusing on their development, current state, and potential advancements in visual programming.
Explore innovative blocks and curricula for K-12 AI education, focusing on democratizing opportunities and fostering creativity through hands-on, active learning approaches.
Explore example memorization in machine learning, covering batch and streaming scenarios, space requirements, and implications for natural models and future research directions.
Explore differential privacy in machine learning, focusing on the Saddle Point Accountant method for privacy accounting and its applications in composition theorems.
Explore techniques for preserving privacy in multi-party data sharing for linear regression, focusing on differential privacy methods and their applications in machine learning.
Explore privacy challenges in machine unlearning, including threat models, deletion inference, and membership attacks. Gain insights into theoretical and experimental aspects of data privacy in ML.
Explore datamodels in machine learning, from training data to predictions. Learn about model brittleness, data counterfactuals, and applications in embedding and clustering.
Get personalized course recommendations, track subjects and courses with reminders, and more.