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Data Science
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Dimensionality reduction

{% include paper-card.html title="Dimensionality reduction: Algebraic Background" subtitle="The curse of dimensionality, SVD" url="/ds/dim_reduction_basics"%}

{% include paper-card.html title="Dimensionality reduction: Algorithms" subtitle="PCA, KPCA, MDS, Isomap, AutoEncoders" url="/ds/dim_reduction_algos"%}

Mining Massive Datasets

{% include paper-card.html title="Finding Similar Items: When $O(n^2)$ is not fast enough" subtitle="Shingling, Minhashing, LSH" url="/ds/similar_items"%}

{% include paper-card.html title="Frequent Itemsets" subtitle="Market-Basket Model, Association Rules, A-Priori Algorithm" url="/ds/frequent_itemsets" %}

{% include paper-card.html title="Mining Streams" subtitle="Sampling, Bloom Filtering, Sliding Windows DGIM, Count Distinct Problem, Flajolet-Martin, HyperLogLog" url="/ds/mining_streams" %}

{% include paper-card.html title="Recommender Systems" subtitle="Collaborative filtering, Content-based" url="/ds/recommender_systems" %}

Graphs

{% include paper-card.html title="Graphs: Ranking the WWW" subtitle="PageRank, Topic-Specific PageRank, TrustRank, SimRank, Hubs-and-Authorities" url="/ds/graphs_ranking"%}

{% include paper-card.html title="Graphs: Clustering" subtitle="Connectivity Measures, Spectral Clustering, Overlapping Community Detection" url="/ds/graphs_clustering"%}