3.21 GB | 22min 46s | mp4 | 1280X720 | 16:9
Genre:eLearning |Language:English

Files Included :
FileName :03 welcome-and-introduction-to-clustering-and-retrieval-tasks.mp4 | Size: (19.84 MB)
FileName :04 course-overview.mp4 | Size: (10.58 MB)
FileName :05 module-by-module-topics-covered.mp4 | Size: (28.97 MB)
FileName :06 assumed-background.mp4 | Size: (19.43 MB)
FileName :02 retrieval-as-k-nearest-neighbor-search.mp4 | Size: (9.38 MB)
FileName :03 1-nn-algorithm.mp4 | Size: (6.79 MB)
FileName :04 k-nn-algorithm.mp4 | Size: (17.38 MB)
FileName :01 document-representation.mp4 | Size: (14.08 MB)
FileName :02 distance-metrics-euclidean-and-scaled-euclidean.mp4 | Size: (21.05 MB)
FileName :03 writing-scaled-euclidean-distance-using-weighted-inner-products.mp4 | Size: (8.82 MB)
FileName :04 distance-metrics-cosine-similarity.mp4 | Size: (20.12 MB)
FileName :05 to-normalize-or-not-and-other-distance-considerations.mp4 | Size: (21.58 MB)
FileName :01 complexity-of-brute-force-search.mp4 | Size: (5.92 MB)
FileName :02 kd-tree-representation.mp4 | Size: (22.57 MB)
FileName :03 nn-search-with-kd-trees.mp4 | Size: (16.25 MB)
FileName :04 complexity-of-nn-search-with-kd-trees.mp4 | Size: (13.51 MB)
FileName :05 visualizing-scaling-behavior-of-kd-trees.mp4 | Size: (10.15 MB)
FileName :06 approximate-k-nn-search-using-kd-trees.mp4 | Size: (22.95 MB)
FileName :01 limitations-of-kd-trees.mp4 | Size: (11.58 MB)
FileName :02 lsh-as-an-alternative-to-kd-trees.mp4 | Size: (12.85 MB)
FileName :03 using-random-lines-to-partition-points.mp4 | Size: (17.06 MB)
FileName :04 defining-more-bins.mp4 | Size: (10.54 MB)
FileName :05 searching-neighboring-bins.mp4 | Size: (22.02 MB)
FileName :06 lsh-in-higher-dimensions.mp4 | Size: (9.9 MB)
FileName :07 optional-improving-efficiency-through-multiple-tables.mp4 | Size: (54.2 MB)
FileName :01 a-brief-recap.mp4 | Size: (6.37 MB)
FileName :02 the-goal-of-clustering.mp4 | Size: (10.66 MB)
FileName :03 an-unsupervised-task.mp4 | Size: (16.48 MB)
FileName :04 hope-for-unsupervised-learning-and-some-challenge-cases.mp4 | Size: (11.58 MB)
FileName :01 the-k-means-algorithm.mp4 | Size: (17.25 MB)
FileName :02 k-means-as-coordinate-descent.mp4 | Size: (17.76 MB)
FileName :03 smart-initialization-via-k-means.mp4 | Size: (1.79 MB)
FileName :04 assessing-the-quality-and-choosing-the-number-of-clusters.mp4 | Size: (21.18 MB)
FileName :01 motivating-mapreduce.mp4 | Size: (20.39 MB)
FileName :02 the-general-mapreduce-abstraction.mp4 | Size: (12.11 MB)
FileName :03 mapreduce-execution-overview-and-combiners.mp4 | Size: (14.42 MB)
FileName :04 mapreduce-for-k-means.mp4 | Size: (18.54 MB)
FileName :01 other-applications-of-clustering.mp4 | Size: (21.55 MB)
FileName :02 a-brief-recap.mp4 | Size: (3.73 MB)
FileName :02 motiving-probabilistic-clustering-models.mp4 | Size: (22.35 MB)
FileName :03 aggregating-over-unknown-classes-in-an-image-dataset.mp4 | Size: (21.56 MB)
FileName :04 univariate-gaussian-distributions.mp4 | Size: (9.02 MB)
FileName :05 bivariate-and-multivariate-gaussians.mp4 | Size: (21.26 MB)
FileName :01 mixture-of-gaussians.mp4 | Size: (21.04 MB)
FileName :02 interpreting-the-mixture-of-gaussian-terms.mp4 | Size: (14.38 MB)
FileName :03 scaling-mixtures-of-gaussians-for-document-clustering.mp4 | Size: (17.21 MB)
FileName :01 computing-soft-assignments-from-known-cluster-parameters.mp4 | Size: (21.76 MB)
FileName :02 optional-responsibilities-as-bayes-rule.mp4 | Size: (14.41 MB)
FileName :03 estimating-cluster-parameters-from-known-cluster-assignments.mp4 | Size: (18.82 MB)
FileName :04 estimating-cluster-parameters-from-soft-assignments.mp4 | Size: (21.4 MB)
FileName :01 em-iterates-in-equations-and-pictures.mp4 | Size: (16.69 MB)
FileName :02 convergence-initialization-and-overfitting-of-em.mp4 | Size: (29.91 MB)
FileName :03 relationship-to-k-means.mp4 | Size: (10.37 MB)
FileName :01 a-brief-recap.mp4 | Size: (4.42 MB)
FileName :02 mixed-membership-models-for-documents.mp4 | Size: (13.22 MB)
FileName :03 an-alternative-document-clustering-model.mp4 | Size: (16.58 MB)
FileName :04 components-of-latent-dirichlet-allocation-model.mp4 | Size: (10.6 MB)
FileName :05 goal-of-lda-inference.mp4 | Size: (18.22 MB)
FileName :01 the-need-for-bayesian-inference.mp4 | Size: (17.01 MB)
FileName :02 gibbs-sampling-from-10-000-feet.mp4 | Size: (18.44 MB)
FileName :03 a-standard-gibbs-sampler-for-lda.mp4 | Size: (29.27 MB)
FileName :01 what-is-collapsed-gibbs-sampling.mp4 | Size: (11.71 MB)
FileName :02 a-worked-example-for-lda-initial-setup.mp4 | Size: (4.94 MB)
FileName :03 a-worked-example-for-lda-deriving-the-resampling-distribution.mp4 | Size: (16.69 MB)
FileName :04 using-the-output-of-collapsed-gibbs-sampling.mp4 | Size: (15.23 MB)
FileName :01 a-brief-recap.mp4 | Size: (5.05 MB)
FileName :02 module-1-recap.mp4 | Size: (29.31 MB)
FileName :03 module-2-recap.mp4 | Size: (10.54 MB)
FileName :04 module-3-recap.mp4 | Size: (19.72 MB)
FileName :05 module-4-recap.mp4 | Size: (25.94 MB)
FileName :01 why-hierarchical-clustering.mp4 | Size: (7.7 MB)
FileName :02 divisive-clustering.mp4 | Size: (13.08 MB)
FileName :03 agglomerative-clustering.mp4 | Size: (8.65 MB)
FileName :04 the-dendrogram.mp4 | Size: (15.35 MB)
FileName :05 agglomerative-clustering-details.mp4 | Size: (20.18 MB)
FileName :06 hidden-markov-models.mp4 | Size: (32.1 MB)
FileName :01 what-we-didn-t-cover.mp4 | Size: (8.6 MB)
FileName :02 thank-you.mp4 | Size: (7.11 MB)]
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