Courses from 1000+ universities
17 years ago, Krishna Kumar started offering free PMP prep online. Today, it’s a leading digital upskilling platform that helps millions upskill in AI, cybersecurity, data science, and more.
600 Free Google Certifications
Fundamentals of Neuroscience, Part 1: The Electrical Properties of the Neuron
Organic Chemistry 1
Mountains 101
Organize and share your learning with Class Central Lists.
View our Lists Showcase
Explore fault estimation in automation, blending model-based approaches with data-driven analytics. Learn about applications in lateral safety systems for automated vehicles.
Explore the evolution from Spatial AI to Embodied AI, discovering how advanced visual scene representation techniques enable autonomous systems to perceive, interact with, and learn from their environment.
Delve into advanced techniques for efficient LLM development, covering optimal dataset mixing strategies and novel model merging approaches for enhanced AI capabilities and performance.
Explore graph autoencoders for node embedding, addressing scalability and real-world graph challenges. Learn about advancements in GAE models and their application to music recommendation at Deezer.
Explore AlphaGeometry, a groundbreaking theorem prover for Euclidean plane geometry that outperforms previous methods and approaches IMO gold medallist level, solving complex problems without human demonstrations.
Explore techniques for training deep learning models with noisy labels, addressing challenges in data collection and annotation across various domains, including medical imaging.
Explore cutting-edge computer vision research through live presentations of VinAI's seven accepted papers at the prestigious CVPR 2021 conference.
Explore adversarial attacks on multivariate forecasting models and learn effective defense strategies, including randomized smoothing and adversarial training, to enhance robustness in time-series predictions.
Explore recent advancements in grokking phenomenon and probabilistic federated learning. Gain insights into neural networks, Gaussian processes, and Bayesian inference for machine learning applications.
Explore optimal transport in distributionally robust optimization, focusing on its applications in machine learning, distribution shifts, and responsible AI. Gain insights into solving challenging optimization problems.
Explore statistical rule learning for materials science, focusing on interpretable modeling and data-driven knowledge discovery to improve machine learning models and drive hypothesis formulation.
Explore cutting-edge AI technologies for creating photorealistic digital humans, virtual worlds, and immersive experiences. Discover advancements in 3D deep learning, neural rendering, and AI-driven VFX for the metaverse era.
Explore techniques for automating 3D content creation through shape deformation and variation generation, making high-quality 3D modeling accessible to all users.
Explore frameworks enhancing human-AI communication, focusing on agents learning from language and requesting information. Discover advancements in interactive AI capabilities and future directions in expressive communication.
Explore the revolutionary Phi-2 small language model, its efficient performance, and impact on AI development. Uncover the evolution, applications, and future of compact language models.
Get personalized course recommendations, track subjects and courses with reminders, and more.