Courses from 1000+ universities
India banned Telegram after the NEET paper leak led to a retest for 2.28 million students. Class Central studied the scam, the money trail, and other platforms the leaks could move to.
600 Free Google Certifications
Data Analysis
Computer Science
Language Learning
Introduction to Research Ethics: Working with People
Improving Communication Skills
Rome: A Virtual Tour of the Ancient City
Organize and share your learning with Class Central Lists.
View our Lists Showcase
Explore a wide range of free and certified Data protection online courses. Find the best Data protection training programs and enhance your skills today!
Innovative AI methods for integrating pathology images and genomics data to enhance cancer grading accuracy, addressing modality challenges and improving performance when genomics data is missing.
Explore Genie, a public AI assistant that translates natural language queries into formal database queries, retrieving information from hybrid data sources including free text and structured data.
Explore how Debesh Jha addresses medical imaging challenges through curated datasets and innovative AI algorithms for improved diagnostic accuracy in radiology and GI endoscopy.
Master data compression theory and applications, from lossless techniques like Huffman coding to lossy methods including JPEG and modern ML approaches for efficient information representation.
Explore the multifaceted nature of Big Data, its challenges, and emerging solutions in this Stanford seminar, covering volume, velocity, variety, and analytics approaches.
Explore computational epidemiology, from historical outbreaks to modern big data approaches. Learn about networked models, synthetic contact networks, and real-time epidemic science applications.
Explore techniques for mining online data to capture temporal patterns, model influence, and infer hidden networks of information flow across social media and news platforms.
Innovative semi-supervised method for training medical image segmentation models using minimal labeled data, achieving comparable accuracy to fully supervised approaches while significantly reducing labeling requirements.
Explores innovative architecture designs for federated learning in medical AI, focusing on Transformers to address data heterogeneity challenges and improve model performance across diverse healthcare institutions.
Explore unique aspects of pediatric thyroid diseases, including recent discoveries and pragmatic recommendations for evaluation and management of various thyroid conditions in children.
Explore innovative haptic modeling techniques using data-driven approaches for enhanced realism in touch-based interactions and social touch applications.
Learn to critically analyze statistics in news, understand risk communication, and navigate common pitfalls in data interpretation with Stanford professor Kristin Sainani's insightful webinar.
Explore high-dimensional neural data analysis, focusing on single-trial theories, task complexity, and latent state recovery. Gain insights into advanced neuroscience concepts and methodologies.
Explore interactive data visualization's role in human-machine partnerships, bridging mental models with machine learning, and addressing epistemological challenges in the era of generative AI.
Explore highly optimized quantum circuit synthesis using data-flow engines. Learn about adaptive compression algorithms, efficient gate decomposition, and advanced simulation techniques for improved quantum computing performance.
Get personalized course recommendations, track subjects and courses with reminders, and more.