Courses from 1000+ universities
Buried in Coursera’s 300-page prospectus: two failed merger attempts, competing bidders, a rogue shareholder, and a combined market cap that shrank from $3.8 billion to $1.7 billion.
600 Free Google Certifications
Greening the Economy: Sustainable Cities
Introduction to Graphic Illustration
Computational Social Science Methods
Organize and share your learning with Class Central Lists.
View our Lists Showcase
Explore how data science combats COVID-19 through mobility models, epidemiological predictions, and large-scale surveys. Learn key technical skills and insights from Dr. Nuria Oliver's multidisciplinary team of volunteer scientists.
Explore five ways AI can leverage graph embeddings to extract insights from connected data, enhancing machine learning algorithms and unlocking hidden patterns in complex relationships.
Explore critical security flaws in ML lifecycle and learn prevention strategies. Gain insights on MLSecOps, challenges in production systems, and OWASP Top 10 for Machine Learning from an industry expert.
Explore Lakehouse, a modern data architecture combining data warehouses and lakes. Learn its principles, architecture, and real-world applications for efficient data management and analysis.
Explore data observability's power in enhancing pipeline quality, reducing maintenance toil, and optimizing performance. Learn key components: metrics, data, lineage, and alerts for effective data management.
Explore Apache Kafka's journey, its cloud-native potential, and real-world applications. Learn how Fortune 100 companies leverage this platform for data-in-motion, revolutionizing data engineering and analytics workflows.
Explore the three facets of data "fitness" with Susan McGregor. Learn to assess validity, reliability, and representativeness to ensure your data is fit for purpose and unlock its true potential.
Explore Bloomberg's AI-driven search and discovery system for financial news, leveraging machine learning and NLP to parse unstructured data and provide valuable insights for clients.
Discover how quantization in PyTorch can make AI models lighter, faster, and more power-efficient without compromising accuracy. Learn techniques and workflows from an ML expert at Meta AI.
Explore physics-inspired continuous learning models for graphs, challenging traditional message-passing paradigms. Discover new approaches using differential geometry, algebraic topology, and differential equations to revolutionize graph machine learning.
Explore scientific discovery and unsupervised disentanglement with Prof. Yair Weiss. Learn about ML for scientific discovery, deep generative models, and new possibility theorems in this insightful talk on machine learning advancements.
Discover Metaflow, an open-source framework revolutionizing ML workflow creation and deployment. Learn how it empowers data scientists to build and deploy critical ML projects across industries with ease and efficiency.
Explore a data-centric approach to ML development, focusing on iteration, quality tools, and problem-solving strategies for more effective AI model creation and implementation.
Explore challenges in AI and healthcare equity, focusing on race and ethnicity data. Learn about bias in algorithms and data, and discover opportunities for improving healthcare AI through better data and models.
Explore stable diffusion for generative art with Hunter Kempf. Learn model architecture, ethical considerations, practical applications, query optimization, and future developments in AI-driven visual creativity.
Get personalized course recommendations, track subjects and courses with reminders, and more.