際際滷shows by User: SharathRao6 / http://www.slideshare.net/images/logo.gif 際際滷shows by User: SharathRao6 / Wed, 05 Feb 2020 21:56:10 GMT 際際滷Share feed for 際際滷shows by User: SharathRao6 ML @ Instacart: Improving the quality of On-demand Grocery /slideshow/ml-instacart-improving-the-quality-of-ondemand-grocery/227062803 impactai2020-instacartsharathrao-200205215610
Mitigate impact of stockouts in Grocery delivery through machine learning. Near real-time inventory prediction.]]>
Mitigate impact of stockouts in Grocery delivery through machine learning. Near real-time inventory prediction.]]> Wed, 05 Feb 2020 21:56:10 GMT /slideshow/ml-instacart-improving-the-quality-of-ondemand-grocery/227062803 SharathRao6@slideshare.net(SharathRao6) ML @ Instacart: Improving the quality of On-demand Grocery SharathRao6 Mitigate impact of stockouts in Grocery delivery through machine learning. Near real-time inventory prediction. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/impactai2020-instacartsharathrao-200205215610-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> Mitigate impact of stockouts in Grocery delivery through machine learning. Near real-time inventory prediction.
ML @ Instacart: Improving the quality of On-demand Grocery from Sharath Rao
]]> 719 0 https://cdn.slidesharecdn.com/ss_thumbnails/impactai2020-instacartsharathrao-200205215610-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 WrangleConf 2017 - Lessons from Integrating ML models into Data Products /slideshow/wrangleconf-2017-lessons-from-integrating-ml-models-into-data-products/78125878 wrangleconf-sharathrao-170721152118
- A simple framework for reasoning about model serving in production]]>
- A simple framework for reasoning about model serving in production]]> Fri, 21 Jul 2017 15:21:18 GMT /slideshow/wrangleconf-2017-lessons-from-integrating-ml-models-into-data-products/78125878 SharathRao6@slideshare.net(SharathRao6) WrangleConf 2017 - Lessons from Integrating ML models into Data Products SharathRao6 - A simple framework for reasoning about model serving in production <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/wrangleconf-sharathrao-170721152118-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> - A simple framework for reasoning about model serving in production
WrangleConf 2017 - Lessons from Integrating ML models into Data Products from Sharath Rao
]]> 1576 3 https://cdn.slidesharecdn.com/ss_thumbnails/wrangleconf-sharathrao-170721152118-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 DataEngConf 2017 - Machine Learning Models in Production /slideshow/lessons-from-integrating-machine-learning-models-into-data-products/75484830 dataengconf2017-sharathrao-slideshare-170427233130
- Integrating machine learning models into customer workflows - Economies of scope with data products - Using a shared features store for reusing features across models]]>
- Integrating machine learning models into customer workflows - Economies of scope with data products - Using a shared features store for reusing features across models]]> Thu, 27 Apr 2017 23:31:30 GMT /slideshow/lessons-from-integrating-machine-learning-models-into-data-products/75484830 SharathRao6@slideshare.net(SharathRao6) DataEngConf 2017 - Machine Learning Models in Production SharathRao6 - Integrating machine learning models into customer workflows - Economies of scope with data products - Using a shared features store for reusing features across models <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/dataengconf2017-sharathrao-slideshare-170427233130-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> - Integrating machine learning models into customer workflows - Economies of scope with data products - Using a shared features store for reusing features across models
DataEngConf 2017 - Machine Learning Models in Production from Sharath Rao
]]> 6742 7 https://cdn.slidesharecdn.com/ss_thumbnails/dataengconf2017-sharathrao-slideshare-170427233130-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 Learned Embeddings for Search and Discovery at Instacart /slideshow/learned-embeddings-for-search-and-discovery-at-instacart/72241963 sfdataminingmeetup-sharathrao-170216185452
Learned word embeddings such as Word2vec/Glove were initially found to be effective for broad range of tasks in Natural Language Processing (NLP). More recently though, these are being used successfully in areas well beyond text such as graphs and event streams. In this talk Sharath will speak about how we use learned embeddings at Instacart for search ranking, personalization and product recommendations. Presented at: SF Data Mining Meetup https://www.meetup.com/Data-Mining/events/237164197/ ]]>
Learned word embeddings such as Word2vec/Glove were initially found to be effective for broad range of tasks in Natural Language Processing (NLP). More recently though, these are being used successfully in areas well beyond text such as graphs and event streams. In this talk Sharath will speak about how we use learned embeddings at Instacart for search ranking, personalization and product recommendations. Presented at: SF Data Mining Meetup https://www.meetup.com/Data-Mining/events/237164197/ ]]> Thu, 16 Feb 2017 18:54:52 GMT /slideshow/learned-embeddings-for-search-and-discovery-at-instacart/72241963 SharathRao6@slideshare.net(SharathRao6) Learned Embeddings for Search and Discovery at Instacart SharathRao6 Learned word embeddings such as Word2vec/Glove were initially found to be effective for broad range of tasks in Natural Language Processing (NLP). More recently though, these are being used successfully in areas well beyond text such as graphs and event streams. In this talk Sharath will speak about how we use learned embeddings at Instacart for search ranking, personalization and product recommendations. Presented at: SF Data Mining Meetup https://www.meetup.com/Data-Mining/events/237164197/ <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/sfdataminingmeetup-sharathrao-170216185452-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> Learned word embeddings such as Word2vec/Glove were initially found to be effective for broad range of tasks in Natural Language Processing (NLP). More recently though, these are being used successfully in areas well beyond text such as graphs and event streams. In this talk Sharath will speak about how we use learned embeddings at Instacart for search ranking, personalization and product recommendations. Presented at: SF Data Mining Meetup https://www.meetup.com/Data-Mining/events/237164197/
Learned Embeddings for Search and Discovery at Instacart from Sharath Rao
]]> 4299 6 https://cdn.slidesharecdn.com/ss_thumbnails/sfdataminingmeetup-sharathrao-170216185452-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 Recommendation Systems @ Instacart /slideshow/recommendation-systems-instacart/66405408 dataengconf-sharathrao-final-pdf-160926044210
My talk at DataEngConf, on Instacart's first discovery based recommendation systems that uses machine learning methods on large scale datasets in online grocery. ]]>
My talk at DataEngConf, on Instacart's first discovery based recommendation systems that uses machine learning methods on large scale datasets in online grocery. ]]> Mon, 26 Sep 2016 04:42:10 GMT /slideshow/recommendation-systems-instacart/66405408 SharathRao6@slideshare.net(SharathRao6) Recommendation Systems @ Instacart SharathRao6 My talk at DataEngConf, on Instacart's first discovery based recommendation systems that uses machine learning methods on large scale datasets in online grocery. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/dataengconf-sharathrao-final-pdf-160926044210-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> My talk at DataEngConf, on Instacart&#39;s first discovery based recommendation systems that uses machine learning methods on large scale datasets in online grocery.
Recommendation Systems @ Instacart from Sharath Rao
]]> 2507 3 https://cdn.slidesharecdn.com/ss_thumbnails/dataengconf-sharathrao-final-pdf-160926044210-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 Data Science @ Instacart /slideshow/data-science-instacart/66405310 kaizen-instacartdatascience-160926043809
I spoke at the first Kaizen Data Science Conference, San Francisco, Sep 2016 on one of Instacart's recommendation systems. Also covers innovative ways of using data science to solve interdisciplinary problems. - Sharath Rao]]>
I spoke at the first Kaizen Data Science Conference, San Francisco, Sep 2016 on one of Instacart's recommendation systems. Also covers innovative ways of using data science to solve interdisciplinary problems. - Sharath Rao]]> Mon, 26 Sep 2016 04:38:09 GMT /slideshow/data-science-instacart/66405310 SharathRao6@slideshare.net(SharathRao6) Data Science @ Instacart SharathRao6 I spoke at the first Kaizen Data Science Conference, San Francisco, Sep 2016 on one of Instacart's recommendation systems. Also covers innovative ways of using data science to solve interdisciplinary problems. - Sharath Rao <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/kaizen-instacartdatascience-160926043809-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> I spoke at the first Kaizen Data Science Conference, San Francisco, Sep 2016 on one of Instacart&#39;s recommendation systems. Also covers innovative ways of using data science to solve interdisciplinary problems. - Sharath Rao
Data Science @ Instacart from Sharath Rao
]]> 3791 5 https://cdn.slidesharecdn.com/ss_thumbnails/kaizen-instacartdatascience-160926043809-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://public.slidesharecdn.com/v2/images/profile-picture.png https://cdn.slidesharecdn.com/ss_thumbnails/impactai2020-instacartsharathrao-200205215610-thumbnail.jpg?width=320&height=320&fit=bounds slideshow/ml-instacart-improving-the-quality-of-ondemand-grocery/227062803 ML @ Instacart: Improv... https://cdn.slidesharecdn.com/ss_thumbnails/wrangleconf-sharathrao-170721152118-thumbnail.jpg?width=320&height=320&fit=bounds slideshow/wrangleconf-2017-lessons-from-integrating-ml-models-into-data-products/78125878 WrangleConf 2017 - Les... https://cdn.slidesharecdn.com/ss_thumbnails/dataengconf2017-sharathrao-slideshare-170427233130-thumbnail.jpg?width=320&height=320&fit=bounds slideshow/lessons-from-integrating-machine-learning-models-into-data-products/75484830 DataEngConf 2017 - Mac...