đź“š Introduction to Machine Learning
5 topics with study materials — summaries, flashcards, tests, podcasts and mindmaps.
Variational Graph Auto-Encoders
Unlock the power of Variational Graph Auto-Encoders (VGAE) for unsupervised graph learning. Discover how VGAE works for link prediction & more!
ViewAdvanced Deep Learning Techniques
Explore advanced deep learning techniques like Variational Graph Auto-Encoders (VGAE) and GAE for graph data. Learn how they predict links in networks. Master these concepts today!
ViewProbabilistic Modeling in Machine Learning
Explore probabilistic modeling in Machine Learning, contrasting generative vs. discriminative approaches, MLE, MAP, and Bayes optimal predictors. Master core concepts and enhance your ML understanding today!
ViewIntroduction to Generative AI Models
Explore Generative AI Models: understand how they work, their applications in text, images, and proteins. Learn about Transformers, GPT, and self-attention. Get started now!
ViewGenerative Models: LLMs and Transformers
Dive deep into Generative Models, LLMs, and the Transformer architecture. Understand how they generate complex data like text and images. Explore key concepts for students.
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