Lecture
Link-based Ranking: Fundamentals and Algorithms
Related lectures (53)
Link-Based Ranking: PageRank
Explores link-based ranking with a focus on PageRank algorithm and its practical application in web search engines.
Latent semantic indexing: inverted files
Explores term-offset indices in inverted files and relevance feedback solutions.
Vision-Language-Action Models: Training and Applications
Delves into training and applications of Vision-Language-Action models, emphasizing large language models' role in robotic control and the transfer of web knowledge. Results from experiments and future research directions are highlighted.
Information Extraction: Algorithms and Techniques
Explores algorithms and techniques for information extraction, including Viterbi algorithm, named entities recognition, and distant supervision.
General Introduction to Big Data
Covers data science tools, Hadoop, Spark, data lake ecosystems, CAP theorem, batch vs. stream processing, HDFS, Hive, Parquet, ORC, and MapReduce architecture.
Spark Data Frames
Covers Spark Data Frames, distributed collections of data organized into named columns, and the benefits of using them over RDDs.
Anchor Text Indexing and Page Ranking
Explores anchor text indexing, PageRank, and link-based ranking using a random walker model.
Graph Algorithms: Modeling and Traversal
Covers graph algorithms, modeling relationships between objects, and traversal techniques like BFS and DFS.
Quantum and Nanocomputing
Covers quantum wire analysis, transmission function, and tunneling in dots.
Statistical Analysis of Network Data
Introduces network data structures, models, and analysis techniques, emphasizing permutation invariance and Erdős-Rényi networks.