際際滷shows by User: alex2046 / http://www.slideshare.net/images/logo.gif 際際滷shows by User: alex2046 / Fri, 24 Feb 2017 22:51:49 GMT 際際滷Share feed for 際際滷shows by User: alex2046 Agile Data Science /slideshow/agile-data-science-72556731/72556731 agiledatascienceslideshare-170224225149
To be successful as a data science team, we need to continuously deliver data-driven insights and data products that generate business value. Identifying the best opportunities and building solutions that actually get used in production requires very close collaboration with business users and subject matter experts. What can we learn from agile software development methodologies, and how can we apply them to data science projects? ]]>
To be successful as a data science team, we need to continuously deliver data-driven insights and data products that generate business value. Identifying the best opportunities and building solutions that actually get used in production requires very close collaboration with business users and subject matter experts. What can we learn from agile software development methodologies, and how can we apply them to data science projects? ]]> Fri, 24 Feb 2017 22:51:49 GMT /slideshow/agile-data-science-72556731/72556731 alex2046@slideshare.net(alex2046) Agile Data Science alex2046 To be successful as a data science team, we need to continuously deliver data-driven insights and data products that generate business value. Identifying the best opportunities and building solutions that actually get used in production requires very close collaboration with business users and subject matter experts. What can we learn from agile software development methodologies, and how can we apply them to data science projects? <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/agiledatascienceslideshare-170224225149-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> To be successful as a data science team, we need to continuously deliver data-driven insights and data products that generate business value. Identifying the best opportunities and building solutions that actually get used in production requires very close collaboration with business users and subject matter experts. What can we learn from agile software development methodologies, and how can we apply them to data science projects?
Agile Data Science from Alexander Bauer
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