{"id":17349,"date":"2020-08-17T14:41:25","date_gmt":"2020-08-17T18:41:25","guid":{"rendered":"https:\/\/bangla.salearningschool.com\/recent-posts\/lecture-slides-introduction-to-machine-learning\/"},"modified":"2020-08-17T14:41:25","modified_gmt":"2020-08-17T18:41:25","slug":"lecture-slides-introduction-to-machine-learning","status":"publish","type":"post","link":"http:\/\/bangla.sitestree.com\/?p=17349","title":{"rendered":"Lecture Slides: Introduction to Machine Learning"},"content":{"rendered":"

https:\/\/www.cmpe.boun.edu.tr\/~ethem\/i2ml2e\/<\/a><\/p>\n

Lecture Slides:<\/strong><\/p>\n

    \n
  1. Introduction (pdf<\/a>,ppt<\/a>)<\/li>\n
  2. Supervised Learning (pdf<\/a>, ppt<\/a>)<\/li>\n
  3. Bayesian Decision Theory (pdf<\/a>, ppt<\/a>)<\/li>\n
  4. Parametric Methods (pdf<\/a>, ppt<\/a>)<\/li>\n
  5. Multivariate Methods (pdf<\/a>, ppt<\/a>)<\/li>\n
  6. Dimensionality Reduction (pdf<\/a>, ppt<\/a>)<\/li>\n
  7. Clustering (pdf<\/a>, ppt<\/a>)<\/li>\n
  8. Nonparametric Methods (pdf<\/a>, ppt<\/a>)<\/li>\n
  9. Decision Trees (pdf<\/a>, ppt<\/a>)<\/li>\n
  10. Linear Discrimination (pdf<\/a>, ppt<\/a>)<\/li>\n
  11. Multilayer Perceptrons (pdf<\/a>, ppt<\/a>)<\/li>\n
  12. Local Models (pdf<\/a>, ppt<\/a>)<\/li>\n
  13. Kernel Machines (pdf<\/a>, ppt<\/a>)<\/li>\n
  14. Bayesian Estimation (pdf<\/a>, ppt<\/a>)<\/li>\n
  15. Hidden Markov Models (pdf<\/a>, ppt<\/a>)<\/li>\n
  16. Graphical Models (pdf<\/a>, ppt<\/a>)<\/li>\n
  17. Combining Multiple Learners (pdf<\/a>, ppt<\/a>)<\/li>\n
  18. Reinforcement Learning (pdf<\/a>, ppt<\/a>)<\/li>\n
  19. Design and Analysis of Machine Learning Experiments (pdf<\/a>, ppt<\/a>)<\/li>\n<\/ol>\n","protected":false},"excerpt":{"rendered":"

    https:\/\/www.cmpe.boun.edu.tr\/~ethem\/i2ml2e\/ Lecture Slides: Introduction (pdf,ppt) Supervised Learning (pdf, ppt) Bayesian Decision Theory (pdf, ppt) Parametric Methods (pdf, ppt) Multivariate Methods (pdf, ppt) Dimensionality Reduction (pdf, ppt) Clustering (pdf, ppt) Nonparametric Methods (pdf, ppt) Decision Trees (pdf, ppt) Linear Discrimination (pdf, ppt) Multilayer Perceptrons (pdf, ppt) Local Models (pdf, ppt) Kernel Machines (pdf, ppt) Bayesian Estimation … <\/p>\n

    Continue reading<\/a><\/p>\n","protected":false},"author":2,"featured_media":0,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_jetpack_memberships_contains_paid_content":false,"footnotes":""},"categories":[182],"tags":[],"class_list":["post-17349","post","type-post","status-publish","format-standard","hentry","category---blog","item-wrap"],"jetpack_featured_media_url":"","jetpack_sharing_enabled":true,"jetpack-related-posts":[{"id":22877,"url":"http:\/\/bangla.sitestree.com\/?p=22877","url_meta":{"origin":17349,"position":0},"title":"Graph Mining: Resources to Learn From","author":"Sayed","date":"March 21, 2021","format":false,"excerpt":"Resources to Learn From Resources to Learn From Resources:Graph mining - lesson 1: Introduction to graphs and networksNathalie Vialaneixhttp:\/\/www.nathalievialaneix.eu\/teaching\/m2se\/M2SE-network_1.pdfphpFox Features: Start your own Social Networkhttps:\/\/www.phpfox.com\/features\/Bipartite graphhttps:\/\/en.wikipedia.org\/wiki\/Bipartite_graphTree (data structure)https:\/\/en.wikipedia.org\/wiki\/Tree_(data_structure)Tree structurehttps:\/\/en.wikipedia.org\/wiki\/Tree_structureSigned graphhttps:\/\/en.wikipedia.org\/wiki\/Signed_graphGene regulatory networkhttps:\/\/en.wikipedia.org\/wiki\/Gene_regulatory_networkDynamic Influence Analysis in Evolving Networks (VLDB'16)https:\/\/www.slideshare.net\/todo314\/dynamic-influence-analysis-in-evolving-networks-vldb16Introduction to Graph Theoryhttps:\/\/www.csc2.ncsu.edu\/faculty\/nfsamato\/practical-graph-mining-with-R\/slides\/ppt\/Introduction_to_Graph_Theory.pptGraph and its representationshttps:\/\/www.geeksforgeeks.org\/graph-and-its-representations\/Representing graphshttps:\/\/www.khanacademy.org\/computing\/computer-science\/algorithms\/graph-representation\/a\/representing-graphshttps:\/\/www.geeksforgeeks.org\/graph-and-its-representations\/ Shop Online:\u00a0https:\/\/www.ShopForSoul.com\/ 8112223 Canada Inc.\/JustEtc:\u2026","rel":"","context":"In "Graph Mining"","block_context":{"text":"Graph Mining","link":"http:\/\/bangla.sitestree.com\/?cat=1905"},"img":{"alt_text":"","src":"","width":0,"height":0},"classes":[]},{"id":75946,"url":"http:\/\/bangla.sitestree.com\/?p=75946","url_meta":{"origin":17349,"position":1},"title":"introduction to game design ppt","author":"Sayed","date":"February 25, 2024","format":false,"excerpt":"https:\/\/youtu.be\/QwPLV0p6ttk","rel":"","context":"In "From Youtube Channel"","block_context":{"text":"From Youtube Channel","link":"http:\/\/bangla.sitestree.com\/?cat=1952"},"img":{"alt_text":"","src":"https:\/\/i0.wp.com\/img.youtube.com\/vi\/QwPLV0p6ttk\/0.jpg?resize=350%2C200","width":350,"height":200},"classes":[]},{"id":75024,"url":"http:\/\/bangla.sitestree.com\/?p=75024","url_meta":{"origin":17349,"position":2},"title":"game balancing ppt","author":"Sayed","date":"August 7, 2022","format":false,"excerpt":"https:\/\/youtu.be\/Y0SBKb4nJOg","rel":"","context":"In "From Youtube Channel"","block_context":{"text":"From Youtube Channel","link":"http:\/\/bangla.sitestree.com\/?cat=1952"},"img":{"alt_text":"","src":"https:\/\/i0.wp.com\/img.youtube.com\/vi\/Y0SBKb4nJOg\/0.jpg?resize=350%2C200","width":350,"height":200},"classes":[]},{"id":26191,"url":"http:\/\/bangla.sitestree.com\/?p=26191","url_meta":{"origin":17349,"position":3},"title":"Hierarchical Visualization: Examples, Implementations, Theory, and Projects #Root","author":"Author-Check- Article-or-Video","date":"April 19, 2021","format":false,"excerpt":"Hierarchical Visualization Hierarchical Visualization in R http:\/\/www.r-chart.com\/2010\/07\/hierarchical-visualizations-in-r-and.html Hierarchical cluster analysis on famous data sets - enhanced with the dendextend package https:\/\/cran.r-project.org\/web\/packages\/dendextend\/vignettes\/Cluster_Analysis.html Tree Plots https:\/\/plot.ly\/python\/tree-plots\/ A Python framework for the analysis and visualization of trees. http:\/\/etetoolkit.org\/ Hierarchy https:\/\/en.wikipedia.org\/wiki\/Hierarchy Organizational Chart https:\/\/upload.wikimedia.org\/wikipedia\/commons\/8\/86\/Departments_in_advertising_agencies.jpg Brackets https:\/\/en.wikipedia.org\/wiki\/Bracket_(tournament)#\/media\/File:SixteenPlayerSingle Introduction to Graphs http:\/\/btechsmartclass.com\/data_structures\/introduction-to-graphs.html https:\/\/www.csee.umbc.edu\/courses\/undergraduate\/341\/fall98\/frey\/ClassNotes\/Class14\/RootedTree.jpg Tree Data Structure\u2026","rel":"","context":"In "Data Visualization"","block_context":{"text":"Data Visualization","link":"http:\/\/bangla.sitestree.com\/?cat=1903"},"img":{"alt_text":"","src":"","width":0,"height":0},"classes":[]},{"id":16135,"url":"http:\/\/bangla.sitestree.com\/?p=16135","url_meta":{"origin":17349,"position":4},"title":"Hierarchical Visualization: Examples, Implementations, Theory, and Projects","author":"Sayed","date":"September 9, 2019","format":false,"excerpt":"Hierarchical Visualization Hierarchical Visualization in R http:\/\/www.r-chart.com\/2010\/07\/hierarchical-visualizations-in-r-and.html Hierarchical cluster analysis on famous data sets - enhanced with the dendextend package https:\/\/cran.r-project.org\/web\/packages\/dendextend\/vignettes\/Cluster_Analysis.html Tree Plots https:\/\/plot.ly\/python\/tree-plots\/ A Python framework for the analysis and visualization of trees. http:\/\/etetoolkit.org\/ Hierarchy https:\/\/en.wikipedia.org\/wiki\/Hierarchy Organizational Chart https:\/\/upload.wikimedia.org\/wikipedia\/commons\/8\/86\/Departments_in_advertising_agencies.jpg Brackets https:\/\/en.wikipedia.org\/wiki\/Bracket_(tournament)#\/media\/File:SixteenPlayerSingle Introduction to Graphs http:\/\/btechsmartclass.com\/data_structures\/introduction-to-graphs.html https:\/\/www.csee.umbc.edu\/courses\/undergraduate\/341\/fall98\/frey\/ClassNotes\/Class14\/RootedTree.jpg Tree Data Structure\u2026","rel":"","context":"In "Data Visualization"","block_context":{"text":"Data Visualization","link":"http:\/\/bangla.sitestree.com\/?cat=1903"},"img":{"alt_text":"","src":"","width":0,"height":0},"classes":[]},{"id":22177,"url":"http:\/\/bangla.sitestree.com\/?p=22177","url_meta":{"origin":17349,"position":5},"title":"Extended Abstract: what it is? How to write #Root #Projects and Opportunities","author":"Author-Check- Article-or-Video","date":"March 11, 2021","format":false,"excerpt":"Some good resources to consult will be given below: Some information on Extended Abstract: 1. It is not a long abstract, it is entirely a different thing 2. You can rather think this to be a short version of the full paper 3. The length can vary from 2 to\u2026","rel":"","context":"In "FromSitesTree.com"","block_context":{"text":"FromSitesTree.com","link":"http:\/\/bangla.sitestree.com\/?cat=1917"},"img":{"alt_text":"","src":"","width":0,"height":0},"classes":[]}],"_links":{"self":[{"href":"http:\/\/bangla.sitestree.com\/index.php?rest_route=\/wp\/v2\/posts\/17349","targetHints":{"allow":["GET"]}}],"collection":[{"href":"http:\/\/bangla.sitestree.com\/index.php?rest_route=\/wp\/v2\/posts"}],"about":[{"href":"http:\/\/bangla.sitestree.com\/index.php?rest_route=\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"http:\/\/bangla.sitestree.com\/index.php?rest_route=\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"http:\/\/bangla.sitestree.com\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=17349"}],"version-history":[{"count":0,"href":"http:\/\/bangla.sitestree.com\/index.php?rest_route=\/wp\/v2\/posts\/17349\/revisions"}],"wp:attachment":[{"href":"http:\/\/bangla.sitestree.com\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=17349"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"http:\/\/bangla.sitestree.com\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=17349"},{"taxonomy":"post_tag","embeddable":true,"href":"http:\/\/bangla.sitestree.com\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=17349"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}