�ݺ�ߣshows by User: ellen

�ݺ�ߣshows by User: ellen_friedman / http://www.slideshare.net/images/logo.gif �ݺ�ߣshows by User: ellen_friedman / Thu, 20 Jun 2019 22:13:17 GMT �ݺ�ߣShare feed for �ݺ�ߣshows by User: ellen_friedman Data Preparation & Version Control for Machine Learning Berlin Buzzwords 2019 /slideshow/data-preparation-version-control-for-machine-learning-berlin-buzzwords-2019/150973057 berlinbuzzwords2019dataprepforml-pdf-190620221317
Data preparation and management are essential for success of machine learning and AI projects. Using real world examples and practical tips, this talk focuses on 3 areas of data prep and data engineering that cut across many different ML systems: focus on three areas of data preparation: data exploration, feature extraction for training data and data management including data version control for machine learning systems.]]>
Data preparation and management are essential for success of machine learning and AI projects. Using real world examples and practical tips, this talk focuses on 3 areas of data prep and data engineering that cut across many different ML systems: focus on three areas of data preparation: data exploration, feature extraction for training data and data management including data version control for machine learning systems.]]> Thu, 20 Jun 2019 22:13:17 GMT /slideshow/data-preparation-version-control-for-machine-learning-berlin-buzzwords-2019/150973057 ellen_friedman@slideshare.net(ellen_friedman) Data Preparation & Version Control for Machine Learning Berlin Buzzwords 2019 ellen_friedman Data preparation and management are essential for success of machine learning and AI projects. Using real world examples and practical tips, this talk focuses on 3 areas of data prep and data engineering that cut across many different ML systems: focus on three areas of data preparation: data exploration, feature extraction for training data and data management including data version control for machine learning systems. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/berlinbuzzwords2019dataprepforml-pdf-190620221317-thumbnail.jpg?width=120&height=120&fit=bounds" /> Data preparation and management are essential for success of machine learning and AI projects. Using real world examples and practical tips, this talk focuses on 3 areas of data prep and data engineering that cut across many different ML systems: focus on three areas of data preparation: data exploration, feature extraction for training data and data management including data version control for machine learning systems.

Data Preparation & Version Control for Machine Learning Berlin Buzzwords 2019 from Ellen Friedman

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0 7 Habits for Big Data in Production - keynote Big Data London Nov 2018 /slideshow/7-habits-for-big-data-in-production-keynote-big-data-london-nov-2018/126252062 7habitsbigdataldn2018keynote-pdf-181219061115
You can improve your chances for success with data intensive large scale applications (AI, machine learning and analytics) in production. This keynote presentation from Big Data London shows you how.]]>
You can improve your chances for success with data intensive large scale applications (AI, machine learning and analytics) in production. This keynote presentation from Big Data London shows you how.]]> Wed, 19 Dec 2018 06:11:15 GMT /slideshow/7-habits-for-big-data-in-production-keynote-big-data-london-nov-2018/126252062 ellen_friedman@slideshare.net(ellen_friedman) 7 Habits for Big Data in Production - keynote Big Data London Nov 2018 ellen_friedman You can improve your chances for success with data intensive large scale applications (AI, machine learning and analytics) in production. This keynote presentation from Big Data London shows you how. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/7habitsbigdataldn2018keynote-pdf-181219061115-thumbnail.jpg?width=120&height=120&fit=bounds" /> You can improve your chances for success with data intensive large scale applications (AI, machine learning and analytics) in production. This keynote presentation from Big Data London shows you how.

7 Habits for Big Data in Production - keynote Big Data London Nov 2018 from Ellen Friedman

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0 What Makes Machine Learning Work? Berlin Buzzwords 2018 #bbuzz talk /slideshow/what-makes-machine-learning-work-berlin-buzzwords-2018-bbuzz-talk/102144475 berlinbuzzwords2018beyondalgo-slideshare-v-180612125833
What matters to get real business value from machine learning and AI? It's not just the algorithm or the model that's important - you also need to handle logistics of data & model management, meet SLAs, have a way to take action on insights, use flexible organization at human level. This talk gives you key tips for success.]]>
What matters to get real business value from machine learning and AI? It's not just the algorithm or the model that's important - you also need to handle logistics of data & model management, meet SLAs, have a way to take action on insights, use flexible organization at human level. This talk gives you key tips for success.]]> Tue, 12 Jun 2018 12:58:33 GMT /slideshow/what-makes-machine-learning-work-berlin-buzzwords-2018-bbuzz-talk/102144475 ellen_friedman@slideshare.net(ellen_friedman) What Makes Machine Learning Work? Berlin Buzzwords 2018 #bbuzz talk ellen_friedman What matters to get real business value from machine learning and AI? It's not just the algorithm or the model that's important - you also need to handle logistics of data & model management, meet SLAs, have a way to take action on insights, use flexible organization at human level. This talk gives you key tips for success. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/berlinbuzzwords2018beyondalgo-slideshare-v-180612125833-thumbnail.jpg?width=120&height=120&fit=bounds" /> What matters to get real business value from machine learning and AI? It's not just the algorithm or the model that's important - you also need to handle logistics of data & model management, meet SLAs, have a way to take action on insights, use flexible organization at human level. This talk gives you key tips for success.

What Makes Machine Learning Work? Berlin Buzzwords 2018 #bbuzz talk from Ellen Friedman

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0 Digital Transformation - #StrataData London 2017 - Data101 /ellen_friedman/digital-transformation-stratadata-london-2017-data101 londonstrata2017foruploadfile-180330175747
Presented at Strata Data London conference May 2017 in the Data 101 track, this presentation explores what is needed in planning, architecture, and cultural organization for effective digital transformation.]]>
Presented at Strata Data London conference May 2017 in the Data 101 track, this presentation explores what is needed in planning, architecture, and cultural organization for effective digital transformation.]]> Fri, 30 Mar 2018 17:57:47 GMT /ellen_friedman/digital-transformation-stratadata-london-2017-data101 ellen_friedman@slideshare.net(ellen_friedman) Digital Transformation - #StrataData London 2017 - Data101 ellen_friedman Presented at Strata Data London conference May 2017 in the Data 101 track, this presentation explores what is needed in planning, architecture, and cultural organization for effective digital transformation. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/londonstrata2017foruploadfile-180330175747-thumbnail.jpg?width=120&height=120&fit=bounds" /> Presented at Strata Data London conference May 2017 in the Data 101 track, this presentation explores what is needed in planning, architecture, and cultural organization for effective digital transformation.

Digital Transformation - #StrataData London 2017 - Data101 from Ellen Friedman

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0 Surprising Advantages of Streaming - ACM March 2018 /slideshow/surprising-advantages-of-streaming-acm-march-2018/92370451 acmmarch2018-pdf-advantagesstreaming-180330001634
Shift to a new idea: stream instead of database as heart of your big data architecture. With the right capabilities for event-by-event streaming data transport (not processing) you get the flexibility of streaming microservices & much more. Includes real world use case examples.]]>
Shift to a new idea: stream instead of database as heart of your big data architecture. With the right capabilities for event-by-event streaming data transport (not processing) you get the flexibility of streaming microservices & much more. Includes real world use case examples.]]> Fri, 30 Mar 2018 00:16:34 GMT /slideshow/surprising-advantages-of-streaming-acm-march-2018/92370451 ellen_friedman@slideshare.net(ellen_friedman) Surprising Advantages of Streaming - ACM March 2018 ellen_friedman Shift to a new idea: stream instead of database as heart of your big data architecture. With the right capabilities for event-by-event streaming data transport (not processing) you get the flexibility of streaming microservices & much more. Includes real world use case examples. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/acmmarch2018-pdf-advantagesstreaming-180330001634-thumbnail.jpg?width=120&height=120&fit=bounds" /> Shift to a new idea: stream instead of database as heart of your big data architecture. With the right capabilities for event-by-event streaming data transport (not processing) you get the flexibility of streaming microservices & much more. Includes real world use case examples.

Surprising Advantages of Streaming - ACM March 2018 from Ellen Friedman

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0 Why Stream? Advantages of Streaming Architecture #StrataData SJ 2017 presentation /slideshow/why-stream-advantages-of-streaming-architecture-strata-sj-2017-presentation/92358407 stratasj2017whystream-adj-online-180329204348
This talk provides an introduction and key ideas for how to design streaming architecture, how streaming can support microservices, and what capabilities are needed in message transport (event streams) such as Apache Kafka and MapR Streams (that uses Kafka API).]]>
This talk provides an introduction and key ideas for how to design streaming architecture, how streaming can support microservices, and what capabilities are needed in message transport (event streams) such as Apache Kafka and MapR Streams (that uses Kafka API).]]> Thu, 29 Mar 2018 20:43:47 GMT /slideshow/why-stream-advantages-of-streaming-architecture-strata-sj-2017-presentation/92358407 ellen_friedman@slideshare.net(ellen_friedman) Why Stream? Advantages of Streaming Architecture #StrataData SJ 2017 presentation ellen_friedman This talk provides an introduction and key ideas for how to design streaming architecture, how streaming can support microservices, and what capabilities are needed in message transport (event streams) such as Apache Kafka and MapR Streams (that uses Kafka API). <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/stratasj2017whystream-adj-online-180329204348-thumbnail.jpg?width=120&height=120&fit=bounds" /> This talk provides an introduction and key ideas for how to design streaming architecture, how streaming can support microservices, and what capabilities are needed in message transport (event streams) such as Apache Kafka and MapR Streams (that uses Kafka API).

Why Stream? Advantages of Streaming Architecture #StrataData SJ 2017 presentation from Ellen Friedman

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0 DataOps: An Agile Method for Data-Driven Organizations /slideshow/dataops-an-agile-method-for-datadriven-organizations/92244254 dataopssessiontalkfinal-v2-adjstratasj2018-180329004423
DataOps expands DevOps philosophy to include data-heavy roles (data engineering & data science). DataOps uses better cross-functional collaboration for flexibility, fast time to value and an agile workflow for data-intensive applications including machine learning pipelines. (Strata Data San Jose March 2018)]]>
DataOps expands DevOps philosophy to include data-heavy roles (data engineering & data science). DataOps uses better cross-functional collaboration for flexibility, fast time to value and an agile workflow for data-intensive applications including machine learning pipelines. (Strata Data San Jose March 2018)]]> Thu, 29 Mar 2018 00:44:23 GMT /slideshow/dataops-an-agile-method-for-datadriven-organizations/92244254 ellen_friedman@slideshare.net(ellen_friedman) DataOps: An Agile Method for Data-Driven Organizations ellen_friedman DataOps expands DevOps philosophy to include data-heavy roles (data engineering & data science). DataOps uses better cross-functional collaboration for flexibility, fast time to value and an agile workflow for data-intensive applications including machine learning pipelines. (Strata Data San Jose March 2018) <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/dataopssessiontalkfinal-v2-adjstratasj2018-180329004423-thumbnail.jpg?width=120&height=120&fit=bounds" /> DataOps expands DevOps philosophy to include data-heavy roles (data engineering & data science). DataOps uses better cross-functional collaboration for flexibility, fast time to value and an agile workflow for data-intensive applications including machine learning pipelines. (Strata Data San Jose March 2018)

DataOps: An Agile Method for Data-Driven Organizations from Ellen Friedman

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0 https://cdn.slidesharecdn.com/profile-photo-ellen_friedman-48x48.jpg?cb=1621553964 I consult in machine learning & AI and large scale data issues across many industries. Ex-committer Apache Drill & Apache Mahout, co-author of ten short books published by O'Reilly Media and previously researcher in mol bio. www.hpe.com https://cdn.slidesharecdn.com/ss_thumbnails/berlinbuzzwords2019dataprepforml-pdf-190620221317-thumbnail.jpg?width=320&height=320&fit=bounds slideshow/data-preparation-version-control-for-machine-learning-berlin-buzzwords-2019/150973057 Data Preparation & Ver... https://cdn.slidesharecdn.com/ss_thumbnails/7habitsbigdataldn2018keynote-pdf-181219061115-thumbnail.jpg?width=320&height=320&fit=bounds slideshow/7-habits-for-big-data-in-production-keynote-big-data-london-nov-2018/126252062 7 Habits for Big Data ... https://cdn.slidesharecdn.com/ss_thumbnails/berlinbuzzwords2018beyondalgo-slideshare-v-180612125833-thumbnail.jpg?width=320&height=320&fit=bounds slideshow/what-makes-machine-learning-work-berlin-buzzwords-2018-bbuzz-talk/102144475 What Makes Machine Lea...