際際滷shows by User: dmoisset / http://www.slideshare.net/images/logo.gif 際際滷shows by User: dmoisset / Wed, 08 Mar 2017 14:06:41 GMT 際際滷Share feed for 際際滷shows by User: dmoisset Bridging the gap from data science to service /slideshow/bridging-the-gap-from-data-science-to-service/72944630 bridgingthegapfromdatasciencetoservice-170308140641
Recent years have brought an explosion of algorithms, models and software libraries for doing data science that allow unprecedented possibilities for solving problems. But providing a data science service as a consultant or a company involves more than just tools. In this talk, I will share the most useful lessons that I learned while working at a company providing these services.]]>

Recent years have brought an explosion of algorithms, models and software libraries for doing data science that allow unprecedented possibilities for solving problems. But providing a data science service as a consultant or a company involves more than just tools. In this talk, I will share the most useful lessons that I learned while working at a company providing these services.]]>
Wed, 08 Mar 2017 14:06:41 GMT /slideshow/bridging-the-gap-from-data-science-to-service/72944630 dmoisset@slideshare.net(dmoisset) Bridging the gap from data science to service dmoisset Recent years have brought an explosion of algorithms, models and software libraries for doing data science that allow unprecedented possibilities for solving problems. But providing a data science service as a consultant or a company involves more than just tools. In this talk, I will share the most useful lessons that I learned while working at a company providing these services. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/bridgingthegapfromdatasciencetoservice-170308140641-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> Recent years have brought an explosion of algorithms, models and software libraries for doing data science that allow unprecedented possibilities for solving problems. But providing a data science service as a consultant or a company involves more than just tools. In this talk, I will share the most useful lessons that I learned while working at a company providing these services.
Bridging the gap from data science to service from dmoisset
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Iepy pydata-amsterdam-2016 /slideshow/iepy-pydataamsterdam2016/59733528 iepy-pydata-amsterdam-2016-160318155510
Finding relations in documents with IEPY: This talk describes IEPY, an open source tool for information extraction that allows to extract structured information from documents by mixing manual, rule-based, and active learning approaches.]]>

Finding relations in documents with IEPY: This talk describes IEPY, an open source tool for information extraction that allows to extract structured information from documents by mixing manual, rule-based, and active learning approaches.]]>
Fri, 18 Mar 2016 15:55:10 GMT /slideshow/iepy-pydataamsterdam2016/59733528 dmoisset@slideshare.net(dmoisset) Iepy pydata-amsterdam-2016 dmoisset Finding relations in documents with IEPY: This talk describes IEPY, an open source tool for information extraction that allows to extract structured information from documents by mixing manual, rule-based, and active learning approaches. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/iepy-pydata-amsterdam-2016-160318155510-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> Finding relations in documents with IEPY: This talk describes IEPY, an open source tool for information extraction that allows to extract structured information from documents by mixing manual, rule-based, and active learning approaches.
Iepy pydata-amsterdam-2016 from dmoisset
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Quepy /slideshow/quepy/35050085 quepy-140523105233-phpapp02
Querying your database in natural language was a presentation done during PyData Silicon Valley 2014, based on the quepy software project. More information at: http://pydata.org/sv2014/abstracts/#197 https://github.com/machinalis/quepy]]>

Querying your database in natural language was a presentation done during PyData Silicon Valley 2014, based on the quepy software project. More information at: http://pydata.org/sv2014/abstracts/#197 https://github.com/machinalis/quepy]]>
Fri, 23 May 2014 10:52:33 GMT /slideshow/quepy/35050085 dmoisset@slideshare.net(dmoisset) Quepy dmoisset Querying your database in natural language was a presentation done during PyData Silicon Valley 2014, based on the quepy software project. More information at: http://pydata.org/sv2014/abstracts/#197 https://github.com/machinalis/quepy <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/quepy-140523105233-phpapp02-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> Querying your database in natural language was a presentation done during PyData Silicon Valley 2014, based on the quepy software project. More information at: http://pydata.org/sv2014/abstracts/#197 https://github.com/machinalis/quepy
Quepy from dmoisset
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