際際滷shows by User: SarahAerni / http://www.slideshare.net/images/logo.gif 際際滷shows by User: SarahAerni / Fri, 02 Oct 2015 02:32:04 GMT 際際滷Share feed for 際際滷shows by User: SarahAerni Strata aerni 2015_09_30_1315 /slideshow/strata-aerni-201509301315/53446535 strataaerni201509301315-151002023204-lva1-app6892
Strata Conference talk on how Data Science brings IoT to life through predictive modeling. The Internet of Things (IoT) will forever change the way businesses interact with each other and their customers. In 2020, 25 billion connected things will be in use, reports Gartner. IDC predictions are even higher as analysts estimate IoT will grow from 15 billion devices in 2015 to 30 billion devices in 2020. With the adoption of these devices, effective leveraging of the torrent of data will be critical to driving the transformation of industries. Central to the fundamental shift will be the ability to pool data, and build models that drive real and significant actions. From smart sensors to connected hospitals, Sarah will use illustrative use cases to demonstrate the fundamental concepts required to drive true impact from these connected devices. She will cover which models are most appropriate for a variety of actions and outcomes, what considerations around data access and processing are critical, and which tools are available to accomplish your task at hand. ]]>
Strata Conference talk on how Data Science brings IoT to life through predictive modeling. The Internet of Things (IoT) will forever change the way businesses interact with each other and their customers. In 2020, 25 billion connected things will be in use, reports Gartner. IDC predictions are even higher as analysts estimate IoT will grow from 15 billion devices in 2015 to 30 billion devices in 2020. With the adoption of these devices, effective leveraging of the torrent of data will be critical to driving the transformation of industries. Central to the fundamental shift will be the ability to pool data, and build models that drive real and significant actions. From smart sensors to connected hospitals, Sarah will use illustrative use cases to demonstrate the fundamental concepts required to drive true impact from these connected devices. She will cover which models are most appropriate for a variety of actions and outcomes, what considerations around data access and processing are critical, and which tools are available to accomplish your task at hand. ]]> Fri, 02 Oct 2015 02:32:04 GMT /slideshow/strata-aerni-201509301315/53446535 SarahAerni@slideshare.net(SarahAerni) Strata aerni 2015_09_30_1315 SarahAerni Strata Conference talk on how Data Science brings IoT to life through predictive modeling. The Internet of Things (IoT) will forever change the way businesses interact with each other and their customers. In 2020, 25 billion connected things will be in use, reports Gartner. IDC predictions are even higher as analysts estimate IoT will grow from 15 billion devices in 2015 to 30 billion devices in 2020. With the adoption of these devices, effective leveraging of the torrent of data will be critical to driving the transformation of industries. Central to the fundamental shift will be the ability to pool data, and build models that drive real and significant actions. From smart sensors to connected hospitals, Sarah will use illustrative use cases to demonstrate the fundamental concepts required to drive true impact from these connected devices. She will cover which models are most appropriate for a variety of actions and outcomes, what considerations around data access and processing are critical, and which tools are available to accomplish your task at hand. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/strataaerni201509301315-151002023204-lva1-app6892-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> Strata Conference talk on how Data Science brings IoT to life through predictive modeling. The Internet of Things (IoT) will forever change the way businesses interact with each other and their customers. In 2020, 25 billion connected things will be in use, reports Gartner. IDC predictions are even higher as analysts estimate IoT will grow from 15 billion devices in 2015 to 30 billion devices in 2020. With the adoption of these devices, effective leveraging of the torrent of data will be critical to driving the transformation of industries. Central to the fundamental shift will be the ability to pool data, and build models that drive real and significant actions. From smart sensors to connected hospitals, Sarah will use illustrative use cases to demonstrate the fundamental concepts required to drive true impact from these connected devices. She will cover which models are most appropriate for a variety of actions and outcomes, what considerations around data access and processing are critical, and which tools are available to accomplish your task at hand.
Strata aerni 2015_09_30_1315 from Sarah Aerni
]]> 479 8 https://cdn.slidesharecdn.com/ss_thumbnails/strataaerni201509301315-151002023204-lva1-app6892-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 Internet Of Things: How Data Science Driven Software is Eating the Connected World /slideshow/hadoop-summitpivotal-49326158/49326158 hadoopsummitpivotal-150612181000-lva1-app6891
Hadoop Summit Talk on IoT and Data Science: The Internet of Things (IoT) will forever change the way businesses interact with consumers and other businesses. Pivotal will present a series of use cases illustrating how such devices and the data from these devices drives real impact across industries. From smart sensors to connected hospitals, each example will highlight the fundamental concepts to success. 揃 Starting with the basics: How data science drives action and outcomes 揃 Avoiding the obstacles: How to avoid the pitfalls that prevent models from driving real action 揃 Building your toolbox: What tools are available]]>
Hadoop Summit Talk on IoT and Data Science: The Internet of Things (IoT) will forever change the way businesses interact with consumers and other businesses. Pivotal will present a series of use cases illustrating how such devices and the data from these devices drives real impact across industries. From smart sensors to connected hospitals, each example will highlight the fundamental concepts to success. 揃 Starting with the basics: How data science drives action and outcomes 揃 Avoiding the obstacles: How to avoid the pitfalls that prevent models from driving real action 揃 Building your toolbox: What tools are available]]> Fri, 12 Jun 2015 18:10:00 GMT /slideshow/hadoop-summitpivotal-49326158/49326158 SarahAerni@slideshare.net(SarahAerni) Internet Of Things: How Data Science Driven Software is Eating the Connected World SarahAerni Hadoop Summit Talk on IoT and Data Science: The Internet of Things (IoT) will forever change the way businesses interact with consumers and other businesses. Pivotal will present a series of use cases illustrating how such devices and the data from these devices drives real impact across industries. From smart sensors to connected hospitals, each example will highlight the fundamental concepts to success. 揃 Starting with the basics: How data science drives action and outcomes 揃 Avoiding the obstacles: How to avoid the pitfalls that prevent models from driving real action 揃 Building your toolbox: What tools are available <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/hadoopsummitpivotal-150612181000-lva1-app6891-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> Hadoop Summit Talk on IoT and Data Science: The Internet of Things (IoT) will forever change the way businesses interact with consumers and other businesses. Pivotal will present a series of use cases illustrating how such devices and the data from these devices drives real impact across industries. From smart sensors to connected hospitals, each example will highlight the fundamental concepts to success. 揃 Starting with the basics: How data science drives action and outcomes 揃 Avoiding the obstacles: How to avoid the pitfalls that prevent models from driving real action 揃 Building your toolbox: What tools are available
Internet Of Things: How Data Science Driven Software is Eating the Connected World from Sarah Aerni
]]> 1274 3 https://cdn.slidesharecdn.com/ss_thumbnails/hadoopsummitpivotal-150612181000-lva1-app6891-thumbnail.jpg?width=120&height=120&fit=bounds presentation 000000 http://activitystrea.ms/schema/1.0/post http://activitystrea.ms/schema/1.0/posted 0 Data Science as a Commodity: Use MADlib, R, & other OSS Tools for Data Science (from Pivotal Open Source Hub Meetup) /slideshow/data-science-as-a-commodity-use-madlib-r-other-oss-tools-for-data-science-from-pivotal-open-source-hub-meetup/31091691 pivotalopensourcehubmeetup01282014-140211130850-phpapp02
際際滷s from the Pivotal Open Source Hub Meetup "Data Science as a Commodity: Use MADlib, R, & other OSS Tools for Data Science!" As the need for data science as a key differentiator grows in all industries, from large corporations to startups, the need to get to results quickly is enabled by sharing ideas and methods in the community. The data science team at Pivotal leverages and contributes to this community of publicly available and open source technologies as part of their practice. We will share the resources we use by highlighting specific toolkits for building models (e.g. MADlib, R) and visualization (e.g. Gephi and Circos) along with their benefits and limitations by sharing examples from Pivotal's data science engagements. At the end of this session we hope to have answered the questions: Where can I get started with Data Science? Which toolkit is most appropriate for building a model with my dataset? How can I visualize my results to have the greatest impact? Bio: Sarah Aerni is a member of the Pivotal Data Science team with a focus on healthcare and life science. She has a background in the field of Bioinformatics, developing tools to help biomedical researchers understand their data. She holds a B.S. In Biology with a specialization in Bioinformatics and minor in French Literature from UCSD, and an M.S. and Ph.D in Biomedical Informatics from Stanford University. During her time as a researcher she focused on the interface between machine learning and biology, building computational models enabling research for a broad range of fields in biomedicine. She also co-founded a start-up providing informatics services to researchers and small companies. At Pivotal she works with customers in life science and healthcare building models to derive insight and business value from their data.]]>
際際滷s from the Pivotal Open Source Hub Meetup "Data Science as a Commodity: Use MADlib, R, & other OSS Tools for Data Science!" As the need for data science as a key differentiator grows in all industries, from large corporations to startups, the need to get to results quickly is enabled by sharing ideas and methods in the community. The data science team at Pivotal leverages and contributes to this community of publicly available and open source technologies as part of their practice. We will share the resources we use by highlighting specific toolkits for building models (e.g. MADlib, R) and visualization (e.g. Gephi and Circos) along with their benefits and limitations by sharing examples from Pivotal's data science engagements. At the end of this session we hope to have answered the questions: Where can I get started with Data Science? Which toolkit is most appropriate for building a model with my dataset? How can I visualize my results to have the greatest impact? Bio: Sarah Aerni is a member of the Pivotal Data Science team with a focus on healthcare and life science. She has a background in the field of Bioinformatics, developing tools to help biomedical researchers understand their data. She holds a B.S. In Biology with a specialization in Bioinformatics and minor in French Literature from UCSD, and an M.S. and Ph.D in Biomedical Informatics from Stanford University. During her time as a researcher she focused on the interface between machine learning and biology, building computational models enabling research for a broad range of fields in biomedicine. She also co-founded a start-up providing informatics services to researchers and small companies. At Pivotal she works with customers in life science and healthcare building models to derive insight and business value from their data.]]> Tue, 11 Feb 2014 13:08:50 GMT /slideshow/data-science-as-a-commodity-use-madlib-r-other-oss-tools-for-data-science-from-pivotal-open-source-hub-meetup/31091691 SarahAerni@slideshare.net(SarahAerni) Data Science as a Commodity: Use MADlib, R, & other OSS Tools for Data Science (from Pivotal Open Source Hub Meetup) SarahAerni 際際滷s from the Pivotal Open Source Hub Meetup "Data Science as a Commodity: Use MADlib, R, & other OSS Tools for Data Science!" As the need for data science as a key differentiator grows in all industries, from large corporations to startups, the need to get to results quickly is enabled by sharing ideas and methods in the community. The data science team at Pivotal leverages and contributes to this community of publicly available and open source technologies as part of their practice. We will share the resources we use by highlighting specific toolkits for building models (e.g. MADlib, R) and visualization (e.g. Gephi and Circos) along with their benefits and limitations by sharing examples from Pivotal's data science engagements. At the end of this session we hope to have answered the questions: Where can I get started with Data Science? Which toolkit is most appropriate for building a model with my dataset? How can I visualize my results to have the greatest impact? Bio: Sarah Aerni is a member of the Pivotal Data Science team with a focus on healthcare and life science. She has a background in the field of Bioinformatics, developing tools to help biomedical researchers understand their data. She holds a B.S. In Biology with a specialization in Bioinformatics and minor in French Literature from UCSD, and an M.S. and Ph.D in Biomedical Informatics from Stanford University. During her time as a researcher she focused on the interface between machine learning and biology, building computational models enabling research for a broad range of fields in biomedicine. She also co-founded a start-up providing informatics services to researchers and small companies. At Pivotal she works with customers in life science and healthcare building models to derive insight and business value from their data. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/pivotalopensourcehubmeetup01282014-140211130850-phpapp02-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> 際際滷s from the Pivotal Open Source Hub Meetup &quot;Data Science as a Commodity: Use MADlib, R, &amp; other OSS Tools for Data Science!&quot; As the need for data science as a key differentiator grows in all industries, from large corporations to startups, the need to get to results quickly is enabled by sharing ideas and methods in the community. The data science team at Pivotal leverages and contributes to this community of publicly available and open source technologies as part of their practice. We will share the resources we use by highlighting specific toolkits for building models (e.g. MADlib, R) and visualization (e.g. Gephi and Circos) along with their benefits and limitations by sharing examples from Pivotal&#39;s data science engagements. At the end of this session we hope to have answered the questions: Where can I get started with Data Science? Which toolkit is most appropriate for building a model with my dataset? How can I visualize my results to have the greatest impact? Bio: Sarah Aerni is a member of the Pivotal Data Science team with a focus on healthcare and life science. She has a background in the field of Bioinformatics, developing tools to help biomedical researchers understand their data. She holds a B.S. In Biology with a specialization in Bioinformatics and minor in French Literature from UCSD, and an M.S. and Ph.D in Biomedical Informatics from Stanford University. During her time as a researcher she focused on the interface between machine learning and biology, building computational models enabling research for a broad range of fields in biomedicine. She also co-founded a start-up providing informatics services to researchers and small companies. At Pivotal she works with customers in life science and healthcare building models to derive insight and business value from their data.
Data Science as a Commodity: Use MADlib, R, & other OSS Tools for Data Science (from Pivotal Open Source Hub Meetup) from Sarah Aerni
]]> 5332 12 https://cdn.slidesharecdn.com/ss_thumbnails/pivotalopensourcehubmeetup01282014-140211130850-phpapp02-thumbnail.jpg?width=120&height=120&fit=bounds presentation White http://activitystrea.ms/schema/1.0/post http://activitystrea.ms/schema/1.0/posted 0 https://cdn.slidesharecdn.com/profile-photo-SarahAerni-48x48.jpg?cb=1523706544 Ph.D. in Biomedical Informatics at Stanford University. I was advised by Serafim Batzoglou (Associate Prof. Computer Science) and co-advised by Stuart Kim (Prof. Genetics). My research interests are in analysis of diverse data, identifying signal from noise in images, sequence and gene expression. I am interested in applying my technical skills to analyze many types of complex and noisy data in new areas. I enjoy working in teams, learning new skills, solving challenging problems, being exposed to new ideas and meeting new people. http://computationalbio.com https://cdn.slidesharecdn.com/ss_thumbnails/strataaerni201509301315-151002023204-lva1-app6892-thumbnail.jpg?width=320&height=320&fit=bounds slideshow/strata-aerni-201509301315/53446535 Strata aerni 2015_09_3... https://cdn.slidesharecdn.com/ss_thumbnails/hadoopsummitpivotal-150612181000-lva1-app6891-thumbnail.jpg?width=320&height=320&fit=bounds slideshow/hadoop-summitpivotal-49326158/49326158 Internet Of Things: Ho... https://cdn.slidesharecdn.com/ss_thumbnails/pivotalopensourcehubmeetup01282014-140211130850-phpapp02-thumbnail.jpg?width=320&height=320&fit=bounds slideshow/data-science-as-a-commodity-use-madlib-r-other-oss-tools-for-data-science-from-pivotal-open-source-hub-meetup/31091691 Data Science as a Comm...