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
Explore a stochastic feedback model for image retrieval, presented by Donald Geman from Johns Hopkins University's Center for Language & Speech Processing.
Explore deterministic annealing for improved clustering and classification, avoiding local optima and optimizing various structures in machine learning applications.
Explore cognitive computing and NLP advancements, including statistical models for parsing, question-answering, and machine translation. Learn about progress in MT quality and its impact on human translators.
Explore cell migration through excitable systems theory. Discover how spontaneous and directed cell movement can be explained using a comprehensive model based on wave propagation and molecular regulators.
Explore challenges and solutions in Arabic NLP, including morphological complexity, ambiguity, and dialectal variations. Learn about key technologies and resources for processing Arabic language.
Explore how demographic factors influence language use and NLP systems, combining sociolinguistics and statistical methods to improve performance and fairness in natural language processing.
Explore Bayesian models for analyzing social interactions, focusing on statistical techniques to understand human behavior and relationships in various contexts.
Explore the brain's solution to visual object recognition, focusing on neuronal activity patterns in the primate ventral visual stream and their sufficiency in explaining human performance.
Explore connectionist simulations challenging the "starting small" theory in language acquisition, examining critical period effects and implicit prediction in language learning.
Explore advances in natural language processing and the challenge of creating systems that understand text, with insights on leveraging distributional regularities for effective analysis.
Explore social applications of pre-trained language models, focusing on automated approaches to investigate stereotypes, prejudice, and propaganda in text, and examine societal impacts of NLP technology.
Explore recent advancements in speaker and language recognition, focusing on GMM subspace methods, pattern classification, and Bayesian approaches for improved performance and domain adaptation.
Explore machine learning with marginalized corrupted features, a novel approach to enhance generalization and scalability in finite data scenarios. Discover applications in risk minimization and document representation.
Explore the evolution of neural networks in speech recognition, from early experiments to modern hybrid HMM/MLP approaches, with insights from a leading expert in the field.
Explore submodular functions for big data challenges in document summarization, speech recognition, machine translation, and computer vision. Learn efficient algorithms and optimal results.
Get personalized course recommendations, track subjects and courses with reminders, and more.