�ݺ�ߣshows by User: wanghaoran1992

�ݺ�ߣshows by User: wanghaoran1992 / http://www.slideshare.net/images/logo.gif �ݺ�ߣshows by User: wanghaoran1992 / Tue, 30 Dec 2014 07:38:37 GMT �ݺ�ߣShare feed for �ݺ�ߣshows by User: wanghaoran1992 Mooc records /slideshow/mooc-records/43093240 moocrecords-141230073837-conversion-gate02
MOOC verified certificates from coursera.org and edx.org.]]>
MOOC verified certificates from coursera.org and edx.org.]]> Tue, 30 Dec 2014 07:38:37 GMT /slideshow/mooc-records/43093240 wanghaoran1992@slideshare.net(wanghaoran1992) Mooc records wanghaoran1992 MOOC verified certificates from coursera.org and edx.org. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/moocrecords-141230073837-conversion-gate02-thumbnail.jpg?width=120&height=120&fit=bounds" /> MOOC verified certificates from coursera.org and edx.org.

Mooc records from Haoran Wang

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0 Coursera statistics 2014 /slideshow/coursera-statistics-2014-42479294/42479294 courserastatistics2014-141208111507-conversion-gate02
Statement for Accomplishment for Data Analysis and Statistical Inference Topics: Exploratory data analysis; Probability and distribution; Statistical inference; Linear regression]]>
Statement for Accomplishment for Data Analysis and Statistical Inference Topics: Exploratory data analysis; Probability and distribution; Statistical inference; Linear regression]]> Mon, 08 Dec 2014 11:15:07 GMT /slideshow/coursera-statistics-2014-42479294/42479294 wanghaoran1992@slideshare.net(wanghaoran1992) Coursera statistics 2014 wanghaoran1992 Statement for Accomplishment for Data Analysis and Statistical Inference Topics: Exploratory data analysis; Probability and distribution; Statistical inference; Linear regression <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/courserastatistics2014-141208111507-conversion-gate02-thumbnail.jpg?width=120&height=120&fit=bounds" /> Statement for Accomplishment for Data Analysis and Statistical Inference Topics: Exploratory data analysis; Probability and distribution; Statistical inference; Linear regression

Coursera statistics 2014 from Haoran Wang

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0 Coursera ml 2014 /slideshow/coursera-ml-2014-42478950/42478950 courseraml2014-141208110811-conversion-gate02
Statement of Accomplishment for Machine Learning Topics: Linear Regression, Logistic Regression, Regularization, Neural Networks, Machine Learning System Design, Support Vector Machines, Clustering, Dimensionality Reduction, Anomaly Detection, Recommender Systems, Large-Scale Machine Learning, etc.]]>
Statement of Accomplishment for Machine Learning Topics: Linear Regression, Logistic Regression, Regularization, Neural Networks, Machine Learning System Design, Support Vector Machines, Clustering, Dimensionality Reduction, Anomaly Detection, Recommender Systems, Large-Scale Machine Learning, etc.]]> Mon, 08 Dec 2014 11:08:11 GMT /slideshow/coursera-ml-2014-42478950/42478950 wanghaoran1992@slideshare.net(wanghaoran1992) Coursera ml 2014 wanghaoran1992 Statement of Accomplishment for Machine Learning Topics: Linear Regression, Logistic Regression, Regularization, Neural Networks, Machine Learning System Design, Support Vector Machines, Clustering, Dimensionality Reduction, Anomaly Detection, Recommender Systems, Large-Scale Machine Learning, etc. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/courseraml2014-141208110811-conversion-gate02-thumbnail.jpg?width=120&height=120&fit=bounds" /> Statement of Accomplishment for Machine Learning Topics: Linear Regression, Logistic Regression, Regularization, Neural Networks, Machine Learning System Design, Support Vector Machines, Clustering, Dimensionality Reduction, Anomaly Detection, Recommender Systems, Large-Scale Machine Learning, etc.

Coursera ml 2014 from Haoran Wang

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0 Coursera datasci 2014 /wanghaoran1992/coursera-datasci-2014-42478629 courseradatasci2014-141208110119-conversion-gate02
Statement of Accomplishment for Introduction to Data Science Topics: Databases and the relational algebra; Data cleaning, entity resolution, data integration, information extraction; Statistical modeling and experiment design; Machine learning; Visualization and visual data analytics; Graph analytics]]>
Statement of Accomplishment for Introduction to Data Science Topics: Databases and the relational algebra; Data cleaning, entity resolution, data integration, information extraction; Statistical modeling and experiment design; Machine learning; Visualization and visual data analytics; Graph analytics]]> Mon, 08 Dec 2014 11:01:19 GMT /wanghaoran1992/coursera-datasci-2014-42478629 wanghaoran1992@slideshare.net(wanghaoran1992) Coursera datasci 2014 wanghaoran1992 Statement of Accomplishment for Introduction to Data Science Topics: Databases and the relational algebra; Data cleaning, entity resolution, data integration, information extraction; Statistical modeling and experiment design; Machine learning; Visualization and visual data analytics; Graph analytics <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/courseradatasci2014-141208110119-conversion-gate02-thumbnail.jpg?width=120&height=120&fit=bounds" /> Statement of Accomplishment for Introduction to Data Science Topics: Databases and the relational algebra; Data cleaning, entity resolution, data integration, information extraction; Statistical modeling and experiment design; Machine learning; Visualization and visual data analytics; Graph analytics

Coursera datasci 2014 from Haoran Wang

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0 Coursera algo 2014 /slideshow/coursera-algo-2014-42478117/42478117 courseraalgo2014-141208105002-conversion-gate01
Statement of Accomplishment for Algorithms: Design and Analysis, Part 1. Topics: Merge Sort, Asymptotic Notation, Divide & Conquer Algorithms, Master Method, QuickSort, Graph Representations, Graph Search, Dijkstra's Shortest-Path Algorithm, Heaps, Binary Search Trees, Balances BSTs, Hash Tables, Bloom Filters, etc.]]>
Statement of Accomplishment for Algorithms: Design and Analysis, Part 1. Topics: Merge Sort, Asymptotic Notation, Divide & Conquer Algorithms, Master Method, QuickSort, Graph Representations, Graph Search, Dijkstra's Shortest-Path Algorithm, Heaps, Binary Search Trees, Balances BSTs, Hash Tables, Bloom Filters, etc.]]> Mon, 08 Dec 2014 10:50:02 GMT /slideshow/coursera-algo-2014-42478117/42478117 wanghaoran1992@slideshare.net(wanghaoran1992) Coursera algo 2014 wanghaoran1992 Statement of Accomplishment for Algorithms: Design and Analysis, Part 1. Topics: Merge Sort, Asymptotic Notation, Divide & Conquer Algorithms, Master Method, QuickSort, Graph Representations, Graph Search, Dijkstra's Shortest-Path Algorithm, Heaps, Binary Search Trees, Balances BSTs, Hash Tables, Bloom Filters, etc. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/courseraalgo2014-141208105002-conversion-gate01-thumbnail.jpg?width=120&height=120&fit=bounds" /> Statement of Accomplishment for Algorithms: Design and Analysis, Part 1. Topics: Merge Sort, Asymptotic Notation, Divide & Conquer Algorithms, Master Method, QuickSort, Graph Representations, Graph Search, Dijkstra's Shortest-Path Algorithm, Heaps, Binary Search Trees, Balances BSTs, Hash Tables, Bloom Filters, etc.

Coursera algo 2014 from Haoran Wang

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0 https://cdn.slidesharecdn.com/profile-photo-wanghaoran1992-48x48.jpg?cb=1531941268 https://cdn.slidesharecdn.com/ss_thumbnails/moocrecords-141230073837-conversion-gate02-thumbnail.jpg?width=320&height=320&fit=bounds slideshow/mooc-records/43093240 Mooc records https://cdn.slidesharecdn.com/ss_thumbnails/courserastatistics2014-141208111507-conversion-gate02-thumbnail.jpg?width=320&height=320&fit=bounds slideshow/coursera-statistics-2014-42479294/42479294 Coursera statistics 2014 https://cdn.slidesharecdn.com/ss_thumbnails/courseraml2014-141208110811-conversion-gate02-thumbnail.jpg?width=320&height=320&fit=bounds slideshow/coursera-ml-2014-42478950/42478950 Coursera ml 2014