�ݺ�ߣshows by User: DataXDay

�ݺ�ߣshows by User: DataXDay / http://www.slideshare.net/images/logo.gif �ݺ�ߣshows by User: DataXDay / Fri, 01 Jun 2018 08:41:07 GMT �ݺ�ߣShare feed for �ݺ�ߣshows by User: DataXDay DataXDay - Exploring graphs: looking for communities & leaders /slideshow/dataxday-exploring-graphs-looking-for-communities-leaders/99899207 slidesdataxdaycf-180601084107
Ever been stuck in a data science use case where any approach seems too hard? Graph theory, describing a system just in terms of nodes and links, could be your answer! In the practical example we’ll show, we’ll try to find data science communities and their leaders in LinkedIn. Challenge accepted? Aurélia Nègre & Alberto Guggiola - Quantmetry https://dataxday.fr/ ]]>
Ever been stuck in a data science use case where any approach seems too hard? Graph theory, describing a system just in terms of nodes and links, could be your answer! In the practical example we’ll show, we’ll try to find data science communities and their leaders in LinkedIn. Challenge accepted? Aurélia Nègre & Alberto Guggiola - Quantmetry https://dataxday.fr/ ]]> Fri, 01 Jun 2018 08:41:07 GMT /slideshow/dataxday-exploring-graphs-looking-for-communities-leaders/99899207 DataXDay@slideshare.net(DataXDay) DataXDay - Exploring graphs: looking for communities & leaders DataXDay Ever been stuck in a data science use case where any approach seems too hard? Graph theory, describing a system just in terms of nodes and links, could be your answer! In the practical example we’ll show, we’ll try to find data science communities and their leaders in LinkedIn. Challenge accepted? Aurélia Nègre & Alberto Guggiola - Quantmetry https://dataxday.fr/ <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/slidesdataxdaycf-180601084107-thumbnail.jpg?width=120&height=120&fit=bounds" /> Ever been stuck in a data science use case where any approach seems too hard? Graph theory, describing a system just in terms of nodes and links, could be your answer! In the practical example we’ll show, we’ll try to find data science communities and their leaders in LinkedIn. Challenge accepted? Aurélia Nègre & Alberto Guggiola - Quantmetry https://dataxday.fr/

DataXDay - Exploring graphs: looking for communities & leaders from DataXDay Conference by Xebia

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0 DataXDay - The wonders of deep learning: how to leverage it for natural language processing /slideshow/dataxday-the-wonders-of-deep-learning-how-to-leverage-it-for-natural-language-processing/99898920 dataxday2018anapeleteiro-180601083851
In recent years, deep learning (DL) has proven to be a transformative force that has made impressive advances in different fields. In fact, within the area of natural language processing (NLP), deep learning has outperformed many former state of the art approaches, such as in machine translation or named entity recognition (NER). In this talk I will present various deep learning algorithms and architectures for NLP, with examples of how they can be leveraged to real world applications. Ana Peleitero - Tendam https://dataxday.fr video available: https://www.youtube.com/watch?v=qpkt1sVHzd0]]>
In recent years, deep learning (DL) has proven to be a transformative force that has made impressive advances in different fields. In fact, within the area of natural language processing (NLP), deep learning has outperformed many former state of the art approaches, such as in machine translation or named entity recognition (NER). In this talk I will present various deep learning algorithms and architectures for NLP, with examples of how they can be leveraged to real world applications. Ana Peleitero - Tendam https://dataxday.fr video available: https://www.youtube.com/watch?v=qpkt1sVHzd0]]> Fri, 01 Jun 2018 08:38:51 GMT /slideshow/dataxday-the-wonders-of-deep-learning-how-to-leverage-it-for-natural-language-processing/99898920 DataXDay@slideshare.net(DataXDay) DataXDay - The wonders of deep learning: how to leverage it for natural language processing DataXDay In recent years, deep learning (DL) has proven to be a transformative force that has made impressive advances in different fields. In fact, within the area of natural language processing (NLP), deep learning has outperformed many former state of the art approaches, such as in machine translation or named entity recognition (NER). In this talk I will present various deep learning algorithms and architectures for NLP, with examples of how they can be leveraged to real world applications. Ana Peleitero - Tendam https://dataxday.fr video available: https://www.youtube.com/watch?v=qpkt1sVHzd0 <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/dataxday2018anapeleteiro-180601083851-thumbnail.jpg?width=120&height=120&fit=bounds" /> In recent years, deep learning (DL) has proven to be a transformative force that has made impressive advances in different fields. In fact, within the area of natural language processing (NLP), deep learning has outperformed many former state of the art approaches, such as in machine translation or named entity recognition (NER). In this talk I will present various deep learning algorithms and architectures for NLP, with examples of how they can be leveraged to real world applications. Ana Peleitero - Tendam https://dataxday.fr video available: https://www.youtube.com/watch?v=qpkt1sVHzd0

DataXDay - The wonders of deep learning: how to leverage it for natural language processing from DataXDay Conference by Xebia

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0 DataXDay - A data scientist journey to industrialization of machine learning /slideshow/dataxday-a-data-scientist-journey-to-industrialization-of-machine-learning/99898878 dataxday2018airfrance-180601083832
Join the journey of a data scientist on the way to industrialization... From notebook to proof of concept, from proof of concept to production, we will cover what happened at Air France. It won’t be golden rules, but a true story. What is exactly industrializing data science? How to package data science models? How to articulate data scientists and data engineers roles? Is continuous integration a wild dream for data scientists? This journey will feed you with key concepts which worked at Air France, and might give you a new light to guide you through your own data science journey. Pauline Ballereau - Air France & Nicolas Laille - Xebia https://dataxday.fr/ video available: https://www.youtube.com/watch?v=ESx6wR6g4ukx]]>
Join the journey of a data scientist on the way to industrialization... From notebook to proof of concept, from proof of concept to production, we will cover what happened at Air France. It won’t be golden rules, but a true story. What is exactly industrializing data science? How to package data science models? How to articulate data scientists and data engineers roles? Is continuous integration a wild dream for data scientists? This journey will feed you with key concepts which worked at Air France, and might give you a new light to guide you through your own data science journey. Pauline Ballereau - Air France & Nicolas Laille - Xebia https://dataxday.fr/ video available: https://www.youtube.com/watch?v=ESx6wR6g4ukx]]> Fri, 01 Jun 2018 08:38:32 GMT /slideshow/dataxday-a-data-scientist-journey-to-industrialization-of-machine-learning/99898878 DataXDay@slideshare.net(DataXDay) DataXDay - A data scientist journey to industrialization of machine learning DataXDay Join the journey of a data scientist on the way to industrialization... From notebook to proof of concept, from proof of concept to production, we will cover what happened at Air France. It won’t be golden rules, but a true story. What is exactly industrializing data science? How to package data science models? How to articulate data scientists and data engineers roles? Is continuous integration a wild dream for data scientists? This journey will feed you with key concepts which worked at Air France, and might give you a new light to guide you through your own data science journey. Pauline Ballereau - Air France & Nicolas Laille - Xebia https://dataxday.fr/ video available: https://www.youtube.com/watch?v=ESx6wR6g4ukx <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/dataxday2018airfrance-180601083832-thumbnail.jpg?width=120&height=120&fit=bounds" /> Join the journey of a data scientist on the way to industrialization... From notebook to proof of concept, from proof of concept to production, we will cover what happened at Air France. It won’t be golden rules, but a true story. What is exactly industrializing data science? How to package data science models? How to articulate data scientists and data engineers roles? Is continuous integration a wild dream for data scientists? This journey will feed you with key concepts which worked at Air France, and might give you a new light to guide you through your own data science journey. Pauline Ballereau - Air France & Nicolas Laille - Xebia https://dataxday.fr/ video available: https://www.youtube.com/watch?v=ESx6wR6g4ukx

DataXDay - A data scientist journey to industrialization of machine learning from DataXDay Conference by Xebia

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0 DataXDay - Real-Time Access log analysis /slideshow/dataxday-realtime-access-log-analysis/99898247 dataxday-rt-accesslog-180601083355
At BlaBlaCar we have built a streaming platform to have fast insights about the usage of our services. I will show you how BlaBlaCar builds an automatic access log streaming analysis to improve the security and gain fine-grained knowledge of the platform usage. Pierre Villard - BlaBlaCar https://dataxday.fr ]]>
At BlaBlaCar we have built a streaming platform to have fast insights about the usage of our services. I will show you how BlaBlaCar builds an automatic access log streaming analysis to improve the security and gain fine-grained knowledge of the platform usage. Pierre Villard - BlaBlaCar https://dataxday.fr ]]> Fri, 01 Jun 2018 08:33:55 GMT /slideshow/dataxday-realtime-access-log-analysis/99898247 DataXDay@slideshare.net(DataXDay) DataXDay - Real-Time Access log analysis DataXDay At BlaBlaCar we have built a streaming platform to have fast insights about the usage of our services. I will show you how BlaBlaCar builds an automatic access log streaming analysis to improve the security and gain fine-grained knowledge of the platform usage. Pierre Villard - BlaBlaCar https://dataxday.fr <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/dataxday-rt-accesslog-180601083355-thumbnail.jpg?width=120&height=120&fit=bounds" /> At BlaBlaCar we have built a streaming platform to have fast insights about the usage of our services. I will show you how BlaBlaCar builds an automatic access log streaming analysis to improve the security and gain fine-grained knowledge of the platform usage. Pierre Villard - BlaBlaCar https://dataxday.fr

DataXDay - Real-Time Access log analysis from DataXDay Conference by Xebia

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0 DataXDay - Tensors in the sky with CloudML /slideshow/dataxday-tensors-in-the-sky-with-cloudml/99897642 dataxday-17mai2018-cloudml1-180601082923
Out of curiosity, ask the other people in the conference room who has already developped neural networks: you will see a lot of hands up. Then ask them how many of those models run in production: epic fail. Come and see a solution to train and deploy TensorFlow models in the cloud using Google CloudML. Sylvain Lequeux - Xebia https://dataxday.fr/ Video available: https://www.youtube.com/watch?v=oDpBRdjwNik]]>
Out of curiosity, ask the other people in the conference room who has already developped neural networks: you will see a lot of hands up. Then ask them how many of those models run in production: epic fail. Come and see a solution to train and deploy TensorFlow models in the cloud using Google CloudML. Sylvain Lequeux - Xebia https://dataxday.fr/ Video available: https://www.youtube.com/watch?v=oDpBRdjwNik]]> Fri, 01 Jun 2018 08:29:23 GMT /slideshow/dataxday-tensors-in-the-sky-with-cloudml/99897642 DataXDay@slideshare.net(DataXDay) DataXDay - Tensors in the sky with CloudML DataXDay Out of curiosity, ask the other people in the conference room who has already developped neural networks: you will see a lot of hands up. Then ask them how many of those models run in production: epic fail. Come and see a solution to train and deploy TensorFlow models in the cloud using Google CloudML. Sylvain Lequeux - Xebia https://dataxday.fr/ Video available: https://www.youtube.com/watch?v=oDpBRdjwNik <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/dataxday-17mai2018-cloudml1-180601082923-thumbnail.jpg?width=120&height=120&fit=bounds" /> Out of curiosity, ask the other people in the conference room who has already developped neural networks: you will see a lot of hands up. Then ask them how many of those models run in production: epic fail. Come and see a solution to train and deploy TensorFlow models in the cloud using Google CloudML. Sylvain Lequeux - Xebia https://dataxday.fr/ Video available: https://www.youtube.com/watch?v=oDpBRdjwNik

DataXDay - Tensors in the sky with CloudML from DataXDay Conference by Xebia

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0 DataXDay - Building a Real Time Analytics API at Scale /slideshow/dataxday-building-a-real-time-analytics-api-at-scale/99897380 dataxday-buildingrealtimeanalyticsapiatscale-180601082736
This talk will cover how we redesigned our analytics API from the ground up to serve metrics in near real time from billions of events per day. We'll go through the tools we considered for the job to how we actually implemented our solution, starting from the datastore up to the whole data pipeline and its API, leveraging Golang, Kubernetes, GCP and Citus. Sylvain Friquet - Algolia https://dataxday.fr/]]>
This talk will cover how we redesigned our analytics API from the ground up to serve metrics in near real time from billions of events per day. We'll go through the tools we considered for the job to how we actually implemented our solution, starting from the datastore up to the whole data pipeline and its API, leveraging Golang, Kubernetes, GCP and Citus. Sylvain Friquet - Algolia https://dataxday.fr/]]> Fri, 01 Jun 2018 08:27:36 GMT /slideshow/dataxday-building-a-real-time-analytics-api-at-scale/99897380 DataXDay@slideshare.net(DataXDay) DataXDay - Building a Real Time Analytics API at Scale DataXDay This talk will cover how we redesigned our analytics API from the ground up to serve metrics in near real time from billions of events per day. We'll go through the tools we considered for the job to how we actually implemented our solution, starting from the datastore up to the whole data pipeline and its API, leveraging Golang, Kubernetes, GCP and Citus. Sylvain Friquet - Algolia https://dataxday.fr/ <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/dataxday-buildingrealtimeanalyticsapiatscale-180601082736-thumbnail.jpg?width=120&height=120&fit=bounds" /> This talk will cover how we redesigned our analytics API from the ground up to serve metrics in near real time from billions of events per day. We'll go through the tools we considered for the job to how we actually implemented our solution, starting from the datastore up to the whole data pipeline and its API, leveraging Golang, Kubernetes, GCP and Citus. Sylvain Friquet - Algolia https://dataxday.fr/

DataXDay - Building a Real Time Analytics API at Scale from DataXDay Conference by Xebia

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0 DataXDay - Machine learning models at scale with Amazon SageMaker /slideshow/dataxday-machine-learning-models-at-scale-with-amazon-sagemaker/99897073 aws-dataxday-180601082527
Build, train, and deploy machine learning models at scale Machine learning often feels a lot harder than it should be to most developers because the process to build and train models, and then deploy them into production is too complicated and too slow. Amazon SageMaker includes modules that can be used together or independently to build, train, and deploy your machine learning models. Olivier Bergeret - AWS https://dataxday.fr/ Video available: https://www.youtube.com/watch?v=3eV4x_GR_f8]]>
Build, train, and deploy machine learning models at scale Machine learning often feels a lot harder than it should be to most developers because the process to build and train models, and then deploy them into production is too complicated and too slow. Amazon SageMaker includes modules that can be used together or independently to build, train, and deploy your machine learning models. Olivier Bergeret - AWS https://dataxday.fr/ Video available: https://www.youtube.com/watch?v=3eV4x_GR_f8]]> Fri, 01 Jun 2018 08:25:27 GMT /slideshow/dataxday-machine-learning-models-at-scale-with-amazon-sagemaker/99897073 DataXDay@slideshare.net(DataXDay) DataXDay - Machine learning models at scale with Amazon SageMaker DataXDay Build, train, and deploy machine learning models at scale Machine learning often feels a lot harder than it should be to most developers because the process to build and train models, and then deploy them into production is too complicated and too slow. Amazon SageMaker includes modules that can be used together or independently to build, train, and deploy your machine learning models. Olivier Bergeret - AWS https://dataxday.fr/ Video available: https://www.youtube.com/watch?v=3eV4x_GR_f8 <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/aws-dataxday-180601082527-thumbnail.jpg?width=120&height=120&fit=bounds" /> Build, train, and deploy machine learning models at scale Machine learning often feels a lot harder than it should be to most developers because the process to build and train models, and then deploy them into production is too complicated and too slow. Amazon SageMaker includes modules that can be used together or independently to build, train, and deploy your machine learning models. Olivier Bergeret - AWS https://dataxday.fr/ Video available: https://www.youtube.com/watch?v=3eV4x_GR_f8

DataXDay - Machine learning models at scale with Amazon SageMaker from DataXDay Conference by Xebia

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0 https://cdn.slidesharecdn.com/profile-photo-DataXDay-48x48.jpg?cb=1552921137 DataXDay is a technical conference for enthusiasts and professionals from the world of data. Big or small data, real-time or batch processing, classical machine learning or deep learning… As developers these are some of the core subjects that keep us up at night. Are you a data pro? Come listen to experts who work on data exploitation and related technologies. This conference is brought to you by Xebia. dataxday.fr/ https://cdn.slidesharecdn.com/ss_thumbnails/slidesdataxdaycf-180601084107-thumbnail.jpg?width=320&height=320&fit=bounds slideshow/dataxday-exploring-graphs-looking-for-communities-leaders/99899207 DataXDay - Exploring g... https://cdn.slidesharecdn.com/ss_thumbnails/dataxday2018anapeleteiro-180601083851-thumbnail.jpg?width=320&height=320&fit=bounds slideshow/dataxday-the-wonders-of-deep-learning-how-to-leverage-it-for-natural-language-processing/99898920 DataXDay - The wonders... https://cdn.slidesharecdn.com/ss_thumbnails/dataxday2018airfrance-180601083832-thumbnail.jpg?width=320&height=320&fit=bounds slideshow/dataxday-a-data-scientist-journey-to-industrialization-of-machine-learning/99898878 DataXDay - A data scie...