際際滷shows by User: smithaml1 / http://www.slideshare.net/images/logo.gif 際際滷shows by User: smithaml1 / Sat, 07 Feb 2015 18:24:42 GMT 際際滷Share feed for 際際滷shows by User: smithaml1 Retail analytics - Improvising pricing strategy using markup/markdown /slideshow/retail-analytics-improvising-pricing-strategy/44393714 retailanalytics-pricingstrategy-150207182443-conversion-gate01
In this project, retail data was cleaned in the ETL process using Microsoft SQL Server 2013 and the pricing strategies formulated were visualized on Tableau dashboards.]]>

In this project, retail data was cleaned in the ETL process using Microsoft SQL Server 2013 and the pricing strategies formulated were visualized on Tableau dashboards.]]>
Sat, 07 Feb 2015 18:24:42 GMT /slideshow/retail-analytics-improvising-pricing-strategy/44393714 smithaml1@slideshare.net(smithaml1) Retail analytics - Improvising pricing strategy using markup/markdown smithaml1 In this project, retail data was cleaned in the ETL process using Microsoft SQL Server 2013 and the pricing strategies formulated were visualized on Tableau dashboards. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/retailanalytics-pricingstrategy-150207182443-conversion-gate01-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> In this project, retail data was cleaned in the ETL process using Microsoft SQL Server 2013 and the pricing strategies formulated were visualized on Tableau dashboards.
Retail analytics - Improvising pricing strategy using markup/markdown from Smitha Mysore Lokesh
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Movie recommendation system using Apache Mahout and Facebook APIs /slideshow/movie-recommendation-system-using-apache-mahout-and-facebook-apis/44393573 movierecommendationsystemusingapachemahoutpresentation-150207181421-conversion-gate02
In this project, we tried to recommend movies to users based on their liked activity as well as the liked activity of their friends. We used Apache Mahout for the Machine Learning Algorithms and Graph API explorer to access Facebook activity by creating a Facebook App.]]>

In this project, we tried to recommend movies to users based on their liked activity as well as the liked activity of their friends. We used Apache Mahout for the Machine Learning Algorithms and Graph API explorer to access Facebook activity by creating a Facebook App.]]>
Sat, 07 Feb 2015 18:14:21 GMT /slideshow/movie-recommendation-system-using-apache-mahout-and-facebook-apis/44393573 smithaml1@slideshare.net(smithaml1) Movie recommendation system using Apache Mahout and Facebook APIs smithaml1 In this project, we tried to recommend movies to users based on their liked activity as well as the liked activity of their friends. We used Apache Mahout for the Machine Learning Algorithms and Graph API explorer to access Facebook activity by creating a Facebook App. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/movierecommendationsystemusingapachemahoutpresentation-150207181421-conversion-gate02-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> In this project, we tried to recommend movies to users based on their liked activity as well as the liked activity of their friends. We used Apache Mahout for the Machine Learning Algorithms and Graph API explorer to access Facebook activity by creating a Facebook App.
Movie recommendation system using Apache Mahout and Facebook APIs from Smitha Mysore Lokesh
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https://cdn.slidesharecdn.com/profile-photo-smithaml1-48x48.jpg?cb=1523389925 Product Manager with 4 years of experience working with enterprise applications (SaaS and mobile), extensive knowledge of Mobile Payments and Wallet with an intuition for great UI/UX. Provided end-to-end management of innovative products by defining the product vision, roadmap and strategy while being the voice of the customer and working with cross-functional teams like engineering, marketing, sales to take products from inception to launch. I am currently working for Sequent Software Inc, the first Mobile Payments company with a vision to put "All Cards on All Apps on all devices" partnering with industry leaders to revolutionize and monetize mobile applications and Wallets. ... http://smithamysorelokesh.blogspot.com/ https://cdn.slidesharecdn.com/ss_thumbnails/retailanalytics-pricingstrategy-150207182443-conversion-gate01-thumbnail.jpg?width=320&height=320&fit=bounds slideshow/retail-analytics-improvising-pricing-strategy/44393714 Retail analytics - Imp... https://cdn.slidesharecdn.com/ss_thumbnails/movierecommendationsystemusingapachemahoutpresentation-150207181421-conversion-gate02-thumbnail.jpg?width=320&height=320&fit=bounds slideshow/movie-recommendation-system-using-apache-mahout-and-facebook-apis/44393573 Movie recommendation s...