We will learn theory, concepts, and applications on how to extract useful information from huge amounts of data.<\/p>\n\n\n\n
Syllabus<\/a><\/p>\n\n\n\n <\/p>\n","protected":false},"excerpt":{"rendered":" Course Description We will learn theory, concepts, and applications on how to extract useful information from huge amounts of data. Course Information Syllabus Week Session Topics Resources Assignments Week-1 Session-1 […]<\/p>\n","protected":false},"author":2,"featured_media":0,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"_jetpack_memberships_contains_paid_content":false,"footnotes":""},"categories":[13],"tags":[],"class_list":["post-809","post","type-post","status-publish","format-standard","hentry","category-courses"],"acf":[],"jetpack_featured_media_url":"","jetpack_sharing_enabled":true,"_links":{"self":[{"href":"https:\/\/ccds.ai\/index.php?rest_route=\/wp\/v2\/posts\/809","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/ccds.ai\/index.php?rest_route=\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/ccds.ai\/index.php?rest_route=\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/ccds.ai\/index.php?rest_route=\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/ccds.ai\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=809"}],"version-history":[{"count":3,"href":"https:\/\/ccds.ai\/index.php?rest_route=\/wp\/v2\/posts\/809\/revisions"}],"predecessor-version":[{"id":827,"href":"https:\/\/ccds.ai\/index.php?rest_route=\/wp\/v2\/posts\/809\/revisions\/827"}],"wp:attachment":[{"href":"https:\/\/ccds.ai\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=809"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/ccds.ai\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=809"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/ccds.ai\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=809"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}Week<\/th> Session<\/th> Topics<\/th> Resources<\/th> Assignments<\/th><\/tr><\/thead> Week-1<\/td> Session-1<\/td> Data Matrix, Attributes, Vector Recap, Basic Statistics, Distributions, PDF, CDF<\/td> https:\/\/dataminingbook.info\/resources\/<\/a>
Book: DMML, Chapter 1 and Chapter 2<\/td>Assignment-1<\/td><\/tr> Week-2<\/td> Session-2<\/td> Multivariate Gaussian, Covariance Matrix, Geometry of the multivariate normal, Diagonalization of Covariance Matrix<\/td> https:\/\/dataminingbook.info\/resources\/<\/a>
Book: DMML, Chapter 1 and Chapter 2<\/td><\/td><\/tr> Week-3<\/td> Session-3<\/td> Frequent Itemset Mining, The Market-Basket Model, Mining Association Rules, Finding Frequent Pairs, A-Priori Algorithm, FP Growth, *Eclat algorithm<\/td> http:\/\/www.mmds.org\/#book<\/a>
Book: MMDS, Chapter 6<\/td>Assignment-2<\/td><\/tr> Week-4<\/td> Session-4<\/td> Mining Data Streams, General Stream Processing Model, Sampling from a Data Stream, *Queries over a (long) Sliding Window<\/td> http:\/\/www.mmds.org\/#book<\/a>
Book: MMDS, Chapter 4<\/td><\/td><\/tr> Week-5<\/td> Session-5<\/td> Analysis of Large Graphs: Link Analysis, PageRank, Topic Specific Page rank, *Sim Rank<\/td> http:\/\/www.mmds.org\/#book<\/a>
Book: MMDS, Chapter 5<\/td>Assignment-3<\/td><\/tr> Week-6<\/td> Session-6<\/td> Recommender Systems, Content-based Systems, Collaborative Filtering<\/td> http:\/\/www.mmds.org\/#book\/>Book: MMDS, Chapter 9<\/a><\/td> <\/td><\/tr> Week-7<\/td> Session-7<\/td> Recommender Systems, Latent Factor Models, SVD<\/td> http:\/\/www.mmds.org\/#book<\/a>
Book: MMDS, Chapter 9, 11<\/td>Assignment-4<\/td><\/tr> Week-8<\/td> Session-8<\/td> Application of SVD in recommender system, *SVD for dimension reduction<\/td> http:\/\/www.mmds.org\/#book<\/a>
Book: MMDS, Chapter 9, 11<\/td><\/td><\/tr> Week-9<\/td> Session-9<\/td> Analysis of Large Graphs: Community Detection, Betweenness, Modularity, Graph Partitioning, *Graph Cut, Spectral Partitioning<\/td> http:\/\/www.mmds.org\/#book<\/a>
Book: MMDS, Chapter 10<\/td>Assignment-5<\/td><\/tr> Week-10<\/td> Session-10<\/td> Map-Reduce and the New Software Stack<\/td> http:\/\/www.mmds.org\/#book<\/a>
Book: MMDS, Chapter 10<\/td>Assignment-6<\/td><\/tr> Week-11<\/td> Session-11<\/td> *Finding Similar Items: Locality Sensitive Hashing, *Distance Measure, *MinHashing<\/td> http:\/\/www.mmds.org\/#book<\/a>
Book: MMDS, Chapter 3<\/td><\/td><\/tr> Week-12<\/td> Session-12<\/td> <\/td> TBA<\/td> TBA<\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n