ºÝºÝߣshows by User: JayCWang / http://www.slideshare.net/images/logo.gif ºÝºÝߣshows by User: JayCWang / Sat, 02 Oct 2021 12:19:30 GMT ºÝºÝߣShare feed for ºÝºÝߣshows by User: JayCWang The Practice of Data Driven Products in Kuaishou /slideshow/the-practice-of-data-driven-products-in-kuaishou/250355282 pm-summit-2021-englishversion-211002121930
The talk has three parts : the first part gives an overview of data science work, including roadmap of data science team, responsibility and value of data scientists; the second part talks about pitfalls in analysis and teaches some common analysis methods; the third part takes decision support, metrics and AB testing as examples to explain the data science work and how they are translated to business value.]]>
The talk has three parts : the first part gives an overview of data science work, including roadmap of data science team, responsibility and value of data scientists; the second part talks about pitfalls in analysis and teaches some common analysis methods; the third part takes decision support, metrics and AB testing as examples to explain the data science work and how they are translated to business value.]]> Sat, 02 Oct 2021 12:19:30 GMT /slideshow/the-practice-of-data-driven-products-in-kuaishou/250355282 JayCWang@slideshare.net(JayCWang) The Practice of Data Driven Products in Kuaishou JayCWang The talk has three parts : the first part gives an overview of data science work, including roadmap of data science team, responsibility and value of data scientists; the second part talks about pitfalls in analysis and teaches some common analysis methods; the third part takes decision support, metrics and AB testing as examples to explain the data science work and how they are translated to business value. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/pm-summit-2021-englishversion-211002121930-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> The talk has three parts : the first part gives an overview of data science work, including roadmap of data science team, responsibility and value of data scientists; the second part talks about pitfalls in analysis and teaches some common analysis methods; the third part takes decision support, metrics and AB testing as examples to explain the data science work and how they are translated to business value.
The Practice of Data Driven Products in Kuaishou from Jay (Jianqiang) Wang
]]> 139 0 https://cdn.slidesharecdn.com/ss_thumbnails/pm-summit-2021-englishversion-211002121930-thumbnail.jpg?width=120&height=120&fit=bounds presentation Black http://activitystrea.ms/schema/1.0/post http://activitystrea.ms/schema/1.0/posted 0 Artificial Intelligence in fashion -- Combining Statistics and Expert Human Judgment for Better Recommendations /slideshow/combining-statistics-and-expert-human-judgment-for-better-recommendations/80969820 airbnblunchlearn-171019040540
this talk discusses combining Statistics and Expert Human Judgment for Better Recommendations. we start by the business model of stitch fix and then go on to talk about the life of a fix. then how we build clothing recommendation systems that are used by human stylists. eventually we discuss selection biases and how to account for selection biases.]]>
this talk discusses combining Statistics and Expert Human Judgment for Better Recommendations. we start by the business model of stitch fix and then go on to talk about the life of a fix. then how we build clothing recommendation systems that are used by human stylists. eventually we discuss selection biases and how to account for selection biases.]]> Thu, 19 Oct 2017 04:05:40 GMT /slideshow/combining-statistics-and-expert-human-judgment-for-better-recommendations/80969820 JayCWang@slideshare.net(JayCWang) Artificial Intelligence in fashion -- Combining Statistics and Expert Human Judgment for Better Recommendations JayCWang this talk discusses combining Statistics and Expert Human Judgment for Better Recommendations. we start by the business model of stitch fix and then go on to talk about the life of a fix. then how we build clothing recommendation systems that are used by human stylists. eventually we discuss selection biases and how to account for selection biases. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/airbnblunchlearn-171019040540-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> this talk discusses combining Statistics and Expert Human Judgment for Better Recommendations. we start by the business model of stitch fix and then go on to talk about the life of a fix. then how we build clothing recommendation systems that are used by human stylists. eventually we discuss selection biases and how to account for selection biases.
Artificial Intelligence in fashion -- Combining Statistics and Expert Human Judgment for Better Recommendations from Jay (Jianqiang) Wang
]]> 13 0 https://cdn.slidesharecdn.com/ss_thumbnails/airbnblunchlearn-171019040540-thumbnail.jpg?width=120&height=120&fit=bounds presentation Black http://activitystrea.ms/schema/1.0/post http://activitystrea.ms/schema/1.0/posted 0 Making data-informed decisions and building intelligent products (Chinese) /slideshow/making-datainformed-decisions-and-building-intelligent-products/80969627 wotappt1600-1200-171019035558
this talk is presented in Mandarin Chinese. In this talk, i discuss how to make data-informed decisions and build data-driven engineering culture. I also cover stitch fix, which is a AI-driven fashion company. I go over various aspects of the business and data challenges.]]>
this talk is presented in Mandarin Chinese. In this talk, i discuss how to make data-informed decisions and build data-driven engineering culture. I also cover stitch fix, which is a AI-driven fashion company. I go over various aspects of the business and data challenges.]]> Thu, 19 Oct 2017 03:55:58 GMT /slideshow/making-datainformed-decisions-and-building-intelligent-products/80969627 JayCWang@slideshare.net(JayCWang) Making data-informed decisions and building intelligent products (Chinese) JayCWang this talk is presented in Mandarin Chinese. In this talk, i discuss how to make data-informed decisions and build data-driven engineering culture. I also cover stitch fix, which is a AI-driven fashion company. I go over various aspects of the business and data challenges. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/wotappt1600-1200-171019035558-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> this talk is presented in Mandarin Chinese. In this talk, i discuss how to make data-informed decisions and build data-driven engineering culture. I also cover stitch fix, which is a AI-driven fashion company. I go over various aspects of the business and data challenges.
Making data-informed decisions and building intelligent products (Chinese) from Jay (Jianqiang) Wang
]]> 221 3 https://cdn.slidesharecdn.com/ss_thumbnails/wotappt1600-1200-171019035558-thumbnail.jpg?width=120&height=120&fit=bounds presentation Black http://activitystrea.ms/schema/1.0/post http://activitystrea.ms/schema/1.0/posted 0 Notes on Machine Learning and Data-centric Startups /slideshow/notes-on-machine-learning-and-datacentric-startups-61782430/61782430 randomnotesonmachinelearning-160508033552
Notes on Machine Learning and Data-centric Startups]]>
Notes on Machine Learning and Data-centric Startups]]> Sun, 08 May 2016 03:35:52 GMT /slideshow/notes-on-machine-learning-and-datacentric-startups-61782430/61782430 JayCWang@slideshare.net(JayCWang) Notes on Machine Learning and Data-centric Startups JayCWang Notes on Machine Learning and Data-centric Startups <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/randomnotesonmachinelearning-160508033552-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> Notes on Machine Learning and Data-centric Startups
Notes on Machine Learning and Data-centric Startups from Jay (Jianqiang) Wang
]]> 715 5 https://cdn.slidesharecdn.com/ss_thumbnails/randomnotesonmachinelearning-160508033552-thumbnail.jpg?width=120&height=120&fit=bounds presentation Black http://activitystrea.ms/schema/1.0/post http://activitystrea.ms/schema/1.0/posted 0 Introduction to data science and its application in online advertising /slideshow/introduction-to-data-science-and-online-advertising/61352216 introductiontodatascienceandonlineadvertising-160426054549
Introduction to data science and online advertising]]>
Introduction to data science and online advertising]]> Tue, 26 Apr 2016 05:45:49 GMT /slideshow/introduction-to-data-science-and-online-advertising/61352216 JayCWang@slideshare.net(JayCWang) Introduction to data science and its application in online advertising JayCWang Introduction to data science and online advertising <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/introductiontodatascienceandonlineadvertising-160426054549-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> Introduction to data science and online advertising
Introduction to data science and its application in online advertising from Jay (Jianqiang) Wang
]]> 495 6 https://cdn.slidesharecdn.com/ss_thumbnails/introductiontodatascienceandonlineadvertising-160426054549-thumbnail.jpg?width=120&height=120&fit=bounds presentation Black http://activitystrea.ms/schema/1.0/post http://activitystrea.ms/schema/1.0/posted 0 How to prepare for data science interviews /slideshow/preparing-for-technical-interview/61352162 preparingfortechnicalinterview-160426054429
Preparing for data science interviews]]>
Preparing for data science interviews]]> Tue, 26 Apr 2016 05:44:29 GMT /slideshow/preparing-for-technical-interview/61352162 JayCWang@slideshare.net(JayCWang) How to prepare for data science interviews JayCWang Preparing for data science interviews <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/preparingfortechnicalinterview-160426054429-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> Preparing for data science interviews
How to prepare for data science interviews from Jay (Jianqiang) Wang
]]> 441 5 https://cdn.slidesharecdn.com/ss_thumbnails/preparingfortechnicalinterview-160426054429-thumbnail.jpg?width=120&height=120&fit=bounds presentation Black http://activitystrea.ms/schema/1.0/post http://activitystrea.ms/schema/1.0/posted 0 Introduction to data science and candidate data science projects /slideshow/introduction-to-data-science-and-candidate-data-science-projects/61352071 brilentproject-basedbootcamp-160426054123
Introduction to data science and candidate data science projects]]>
Introduction to data science and candidate data science projects]]> Tue, 26 Apr 2016 05:41:23 GMT /slideshow/introduction-to-data-science-and-candidate-data-science-projects/61352071 JayCWang@slideshare.net(JayCWang) Introduction to data science and candidate data science projects JayCWang Introduction to data science and candidate data science projects <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/brilentproject-basedbootcamp-160426054123-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> Introduction to data science and candidate data science projects
Introduction to data science and candidate data science projects from Jay (Jianqiang) Wang
]]> 404 7 https://cdn.slidesharecdn.com/ss_thumbnails/brilentproject-basedbootcamp-160426054123-thumbnail.jpg?width=120&height=120&fit=bounds presentation Black http://activitystrea.ms/schema/1.0/post http://activitystrea.ms/schema/1.0/posted 0 Boosted multinomial logit model (working manuscript) /slideshow/boostingchoice/61351600 ee5ee950-d64f-44e7-9a1b-81bba3c0f14f-160426052423
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]]> Tue, 26 Apr 2016 05:24:23 GMT /slideshow/boostingchoice/61351600 JayCWang@slideshare.net(JayCWang) Boosted multinomial logit model (working manuscript) JayCWang <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/ee5ee950-d64f-44e7-9a1b-81bba3c0f14f-160426052423-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br>
Boosted multinomial logit model (working manuscript) from Jay (Jianqiang) Wang
]]> 579 5 https://cdn.slidesharecdn.com/ss_thumbnails/ee5ee950-d64f-44e7-9a1b-81bba3c0f14f-160426052423-thumbnail.jpg?width=120&height=120&fit=bounds document Black http://activitystrea.ms/schema/1.0/post http://activitystrea.ms/schema/1.0/posted 0 Boosted Tree-based Multinomial Logit Model for Aggregated Market Data /slideshow/ercim-61351581/61351581 2eff174c-bf03-4b82-956e-03d4d573a50a-160426052342
Boosted Tree-based Multinomial Logit Model for Aggregated Market Data]]>
Boosted Tree-based Multinomial Logit Model for Aggregated Market Data]]> Tue, 26 Apr 2016 05:23:41 GMT /slideshow/ercim-61351581/61351581 JayCWang@slideshare.net(JayCWang) Boosted Tree-based Multinomial Logit Model for Aggregated Market Data JayCWang Boosted Tree-based Multinomial Logit Model for Aggregated Market Data <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/2eff174c-bf03-4b82-956e-03d4d573a50a-160426052342-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> Boosted Tree-based Multinomial Logit Model for Aggregated Market Data
Boosted Tree-based Multinomial Logit Model for Aggregated Market Data from Jay (Jianqiang) Wang
]]> 448 6 https://cdn.slidesharecdn.com/ss_thumbnails/2eff174c-bf03-4b82-956e-03d4d573a50a-160426052342-thumbnail.jpg?width=120&height=120&fit=bounds presentation Black http://activitystrea.ms/schema/1.0/post http://activitystrea.ms/schema/1.0/posted 0 Multivariate outlier detection /slideshow/defense2-61351436/61351436 69da370a-d774-44e5-860e-0055a6fecb62-160426051715
Estimating Distance Distributions and Testing Observation Outlyingness for Complex Surveys]]>
Estimating Distance Distributions and Testing Observation Outlyingness for Complex Surveys]]> Tue, 26 Apr 2016 05:17:15 GMT /slideshow/defense2-61351436/61351436 JayCWang@slideshare.net(JayCWang) Multivariate outlier detection JayCWang Estimating Distance Distributions and Testing Observation Outlyingness for Complex Surveys <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/69da370a-d774-44e5-860e-0055a6fecb62-160426051715-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> Estimating Distance Distributions and Testing Observation Outlyingness for Complex Surveys
Multivariate outlier detection from Jay (Jianqiang) Wang
]]> 206 6 https://cdn.slidesharecdn.com/ss_thumbnails/69da370a-d774-44e5-860e-0055a6fecb62-160426051715-thumbnail.jpg?width=120&height=120&fit=bounds presentation Black http://activitystrea.ms/schema/1.0/post http://activitystrea.ms/schema/1.0/posted 0 Multivariate outlier detection /slideshow/defense1-61351412/61351412 a497012f-8807-4f1e-8dc1-4d49b3f643cc-160426051613
Estimating Distance Distributions and Testing Observation Outlyingness for Complex Surveys]]>
Estimating Distance Distributions and Testing Observation Outlyingness for Complex Surveys]]> Tue, 26 Apr 2016 05:16:13 GMT /slideshow/defense1-61351412/61351412 JayCWang@slideshare.net(JayCWang) Multivariate outlier detection JayCWang Estimating Distance Distributions and Testing Observation Outlyingness for Complex Surveys <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/a497012f-8807-4f1e-8dc1-4d49b3f643cc-160426051613-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> Estimating Distance Distributions and Testing Observation Outlyingness for Complex Surveys
Multivariate outlier detection from Jay (Jianqiang) Wang
]]> 238 8 https://cdn.slidesharecdn.com/ss_thumbnails/a497012f-8807-4f1e-8dc1-4d49b3f643cc-160426051613-thumbnail.jpg?width=120&height=120&fit=bounds presentation Black http://activitystrea.ms/schema/1.0/post http://activitystrea.ms/schema/1.0/posted 0 A Bayesian Approach to Estimating Agricultual Yield Based on Multiple Repeated Surveys /JayCWang/slides0703 864ce7ea-4697-44ad-ab14-edb99720c46d-160426051223
A Bayesian Approach to Estimating Agricultural Yield Based on Multiple Repeated Surveys ]]>
A Bayesian Approach to Estimating Agricultural Yield Based on Multiple Repeated Surveys ]]> Tue, 26 Apr 2016 05:12:23 GMT /JayCWang/slides0703 JayCWang@slideshare.net(JayCWang) A Bayesian Approach to Estimating Agricultual Yield Based on Multiple Repeated Surveys JayCWang A Bayesian Approach to Estimating Agricultural Yield Based on Multiple Repeated Surveys <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/864ce7ea-4697-44ad-ab14-edb99720c46d-160426051223-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> A Bayesian Approach to Estimating Agricultural Yield Based on Multiple Repeated Surveys
A Bayesian Approach to Estimating Agricultual Yield Based on Multiple Repeated Surveys from Jay (Jianqiang) Wang
]]> 254 4 https://cdn.slidesharecdn.com/ss_thumbnails/864ce7ea-4697-44ad-ab14-edb99720c46d-160426051223-thumbnail.jpg?width=120&height=120&fit=bounds presentation Black http://activitystrea.ms/schema/1.0/post http://activitystrea.ms/schema/1.0/posted 0 https://cdn.slidesharecdn.com/profile-photo-JayCWang-48x48.jpg?cb=1700731908 Data scientist with 10+ years experiences in analytics and machine learning; expert knowledge and hands-on experiences in these domains: Recommender systems, evaluation metrics, explore-exploit; Ads relevance, ads click through rate prediction and ranking; Demand forecasting, discrete choice model, pricing, product portfolio management; Lead mentor in training fresh graduate students and career changers in data science; Time series modeling, nonparametric statistics, survey statistics; Counterfactual reasoning, segmentation, cohort and drill-down analysis, A/B experiment design and analysis; Data scientist tech lead in stitch fix styling algorithm team; Data scientist in twitter ads rank... https://cdn.slidesharecdn.com/ss_thumbnails/pm-summit-2021-englishversion-211002121930-thumbnail.jpg?width=320&height=320&fit=bounds slideshow/the-practice-of-data-driven-products-in-kuaishou/250355282 The Practice of Data D... https://cdn.slidesharecdn.com/ss_thumbnails/airbnblunchlearn-171019040540-thumbnail.jpg?width=320&height=320&fit=bounds slideshow/combining-statistics-and-expert-human-judgment-for-better-recommendations/80969820 Artificial Intelligenc... https://cdn.slidesharecdn.com/ss_thumbnails/wotappt1600-1200-171019035558-thumbnail.jpg?width=320&height=320&fit=bounds slideshow/making-datainformed-decisions-and-building-intelligent-products/80969627 Making data-informed d...