Courses from 1000+ universities
$7.2 billion in combined revenue since 2020. $8 billion in lost market value. This merger marks the end of an era in online education.
600 Free Google Certifications
Computer Science
Psychology
Microsoft Excel
Lean Production
Viruses & How to Beat Them: Cells, Immunity, Vaccines
Learn Like a Pro: Science-Based Tools to Become Better at Anything
Organize and share your learning with Class Central Lists.
View our Lists Showcase
Exploring the intersection of AI, social media, and youth violence, focusing on how digital expressions impact vulnerable communities and the potential for data science to address social inequalities.
Exploring AI's role in education post-COVID, discussing current applications, future potential, and recommendations for an AI-ready education system to enable all learners to achieve their full potential.
Explore how AI and data science can address social challenges, from preventing lead poisoning to reducing police misconduct, while tackling explainability and fairness issues in high-impact public policy projects.
Explore the world's first network graph mapping UK corporate ownership data, built to uncover potential corrupt practices and improve transparency in business structures.
Explore ethical data practices through a feminist lens, examining power dynamics, classification systems, and invisible labor to create more equitable data science approaches.
Exploring the future of AI capabilities, potential risks, and the need for a fundamental reorientation in AI development to ensure systems are beneficial for humanity.
Climate scientist Emily Shuckburgh presents scientific evidence on climate change, explores potential solutions, and discusses COVID-19's impact on the environment in this Earth Day lecture on sustainability and the climate crisis.
Exploring innovative approaches to make complex machine learning models interpretable and trustworthy, especially in medical applications, for diverse users including clinicians and patients.
Explores data-driven regularizers for inverse imaging problems, combining model-based and data-driven approaches. Covers bilevel optimization and deep neural networks for image processing.
Explores implicit regularization in optimization methods, focusing on stability in estimation processes for non-Euclidean norms and non-quadratic errors, with emphasis on accelerated techniques.
Explore the intersection of statistical physics and machine learning, examining algorithmic paradigms, high-dimensional models, and cross-fertilization between statistics and computer science in the era of Big Data.
Machine learning's universal approach to phenomena inverts expertise from answering known questions to asking good ones. Explore applications in structural design, urban analysis, and real estate, with insights on ML's impact across engineering and desig…
Explore cutting-edge applications of causal inference in data science for individualized treatment effects, bridging theory and practical algorithms in economic research and policy-making.
Explore how citizen science can empower autistic individuals and create inclusive public spaces. Learn about ethical data sharing and city design improvements to enhance the lives of autistic people.
Explore efficient calibration techniques for spatio-temporal models, focusing on uncertainty quantification and Gaussian Process emulation in complex physical systems like climate and natural disasters.
Get personalized course recommendations, track subjects and courses with reminders, and more.