Self-Avoiding Random WalksExplores self-avoiding random walks and their mathematical models, emphasizing the importance of paths that are self-avoiding.
Conicité ParaboliqueExplores the characteristics of parabolic conicity and demonstrates how to address related issues.
Clustering: K-MeansCovers clustering and the K-means algorithm for partitioning datasets into clusters based on similarity.
Image ProcessingCovers a generic framework for historical document processing using TensorFlow and Python3.
Trade-offs in Data and TimeExplores trade-offs between data and time in computational problems, emphasizing diminishing returns and continuous trade-offs.
