�ݺ�ߣshows by User: DTAIEB

�ݺ�ߣshows by User: DTAIEB / http://www.slideshare.net/images/logo.gif �ݺ�ߣshows by User: DTAIEB / Thu, 12 Oct 2017 13:18:48 GMT �ݺ�ߣShare feed for �ݺ�ߣshows by User: DTAIEB Odsc london data science bootcamp with pixie dust /slideshow/odsc-london-data-science-bootcamp-with-pixie-dust/80738623 odsclondondatasciencebootcampwithpixiedust-171012131848
Easier Data Science and geo mapping Analyse UK traffic data with Jupyter Notebooks and PixieDust]]>
Easier Data Science and geo mapping Analyse UK traffic data with Jupyter Notebooks and PixieDust]]> Thu, 12 Oct 2017 13:18:48 GMT /slideshow/odsc-london-data-science-bootcamp-with-pixie-dust/80738623 DTAIEB@slideshare.net(DTAIEB) Odsc london data science bootcamp with pixie dust DTAIEB Easier Data Science and geo mapping Analyse UK traffic data with Jupyter Notebooks and PixieDust <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/odsclondondatasciencebootcampwithpixiedust-171012131848-thumbnail.jpg?width=120&height=120&fit=bounds" /> Easier Data Science and geo mapping Analyse UK traffic data with Jupyter Notebooks and PixieDust

Odsc london data science bootcamp with pixie dust from David Taieb

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0 Data science bootcamp with pixie dust /slideshow/data-science-bootcamp-with-pixie-dust/76643420 datasciencebootcampwithpixiedust-170605031600
Tutorial for analyzing San Francisco Traffic accidents using Jupyter Notebooks and PixieDust]]>
Tutorial for analyzing San Francisco Traffic accidents using Jupyter Notebooks and PixieDust]]> Mon, 05 Jun 2017 03:16:00 GMT /slideshow/data-science-bootcamp-with-pixie-dust/76643420 DTAIEB@slideshare.net(DTAIEB) Data science bootcamp with pixie dust DTAIEB Tutorial for analyzing San Francisco Traffic accidents using Jupyter Notebooks and PixieDust <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/datasciencebootcampwithpixiedust-170605031600-thumbnail.jpg?width=120&height=120&fit=bounds" /> Tutorial for analyzing San Francisco Traffic accidents using Jupyter Notebooks and PixieDust

Data science bootcamp with pixie dust from David Taieb

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0 Pixie dust overview /slideshow/pixie-dust-overview/67604860 pixiedustoverview-161024235043
PixieDust overview]]>
PixieDust overview]]> Mon, 24 Oct 2016 23:50:43 GMT /slideshow/pixie-dust-overview/67604860 DTAIEB@slideshare.net(DTAIEB) Pixie dust overview DTAIEB PixieDust overview <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/pixiedustoverview-161024235043-thumbnail.jpg?width=120&height=120&fit=bounds" /> PixieDust overview

Pixie dust overview from David Taieb

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0 JavaOne 2016: Getting Started with Apache Spark: Use Scala, Java, Python, or All of Them? /slideshow/javaone-2016-getting-started-with-apache-spark-use-scala-java-python-or-all-of-them/66223308 javaonesparkscalavspython-160920170010
Apache Spark is the next-generation distributed computing framework, rapidly becoming the de facto standard for big data analytics. It provides rich, expressive APIs in multiple languages, including Scala, Java, Python, and R. However, depending on the use case—a data scientist working in an Jupyter Notebook or a data engineer implementing long-running Spark submit jobs—choosing the right language can be a dilemma. This session uses a Spark application that performs “sentiment analysis of Twitter data” to compare and contrast the feature differences between the languages, API coverages, and overall productivity. With concrete examples, it provides insight to help you decide when to use Scala, Java, Python, or perhaps a mix of these.]]>
Apache Spark is the next-generation distributed computing framework, rapidly becoming the de facto standard for big data analytics. It provides rich, expressive APIs in multiple languages, including Scala, Java, Python, and R. However, depending on the use case—a data scientist working in an Jupyter Notebook or a data engineer implementing long-running Spark submit jobs—choosing the right language can be a dilemma. This session uses a Spark application that performs “sentiment analysis of Twitter data” to compare and contrast the feature differences between the languages, API coverages, and overall productivity. With concrete examples, it provides insight to help you decide when to use Scala, Java, Python, or perhaps a mix of these.]]> Tue, 20 Sep 2016 17:00:10 GMT /slideshow/javaone-2016-getting-started-with-apache-spark-use-scala-java-python-or-all-of-them/66223308 DTAIEB@slideshare.net(DTAIEB) JavaOne 2016: Getting Started with Apache Spark: Use Scala, Java, Python, or All of Them? DTAIEB Apache Spark is the next-generation distributed computing framework, rapidly becoming the de facto standard for big data analytics. It provides rich, expressive APIs in multiple languages, including Scala, Java, Python, and R. However, depending on the use case—a data scientist working in an Jupyter Notebook or a data engineer implementing long-running Spark submit jobs—choosing the right language can be a dilemma. This session uses a Spark application that performs “sentiment analysis of Twitter data” to compare and contrast the feature differences between the languages, API coverages, and overall productivity. With concrete examples, it provides insight to help you decide when to use Scala, Java, Python, or perhaps a mix of these. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/javaonesparkscalavspython-160920170010-thumbnail.jpg?width=120&height=120&fit=bounds" /> Apache Spark is the next-generation distributed computing framework, rapidly becoming the de facto standard for big data analytics. It provides rich, expressive APIs in multiple languages, including Scala, Java, Python, and R. However, depending on the use case—a data scientist working in an Jupyter Notebook or a data engineer implementing long-running Spark submit jobs—choosing the right language can be a dilemma. This session uses a Spark application that performs “sentiment analysis of Twitter data” to compare and contrast the feature differences between the languages, API coverages, and overall productivity. With concrete examples, it provides insight to help you decide when to use Scala, Java, Python, or perhaps a mix of these.

JavaOne 2016: Getting Started with Apache Spark: Use Scala, Java, Python, or All of Them? from David Taieb

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0 Spark tutorial py con 2016 part 2 /slideshow/spark-tutorial-py-con-2016-part-2/62498256 sparktutorialpycon2016-part2-160528182028
Discover insight about car manufacturers from Twitter Data using a Python Notebook connected to Apache Spark]]>
Discover insight about car manufacturers from Twitter Data using a Python Notebook connected to Apache Spark]]> Sat, 28 May 2016 18:20:28 GMT /slideshow/spark-tutorial-py-con-2016-part-2/62498256 DTAIEB@slideshare.net(DTAIEB) Spark tutorial py con 2016 part 2 DTAIEB Discover insight about car manufacturers from Twitter Data using a Python Notebook connected to Apache Spark <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/sparktutorialpycon2016-part2-160528182028-thumbnail.jpg?width=120&height=120&fit=bounds" /> Discover insight about car manufacturers from Twitter Data using a Python Notebook connected to Apache Spark

Spark tutorial py con 2016 part 2 from David Taieb

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0 Spark tutorial pycon 2016 part 1 /slideshow/spark-tutorial-pycon-2016-part-1/62498225 sparktutorialpycon2016-part1-160528181807
Build a Machine Learning model with Apache Spark MLLib to predict flight delays using weather data]]>
Build a Machine Learning model with Apache Spark MLLib to predict flight delays using weather data]]> Sat, 28 May 2016 18:18:07 GMT /slideshow/spark-tutorial-pycon-2016-part-1/62498225 DTAIEB@slideshare.net(DTAIEB) Spark tutorial pycon 2016 part 1 DTAIEB Build a Machine Learning model with Apache Spark MLLib to predict flight delays using weather data <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/sparktutorialpycon2016-part1-160528181807-thumbnail.jpg?width=120&height=120&fit=bounds" /> Build a Machine Learning model with Apache Spark MLLib to predict flight delays using weather data

Spark tutorial pycon 2016 part 1 from David Taieb

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0 https://cdn.slidesharecdn.com/profile-photo-DTAIEB-48x48.jpg?cb=1582248225 https://cdn.slidesharecdn.com/ss_thumbnails/odsclondondatasciencebootcampwithpixiedust-171012131848-thumbnail.jpg?width=320&height=320&fit=bounds slideshow/odsc-london-data-science-bootcamp-with-pixie-dust/80738623 Odsc london data scien... https://cdn.slidesharecdn.com/ss_thumbnails/datasciencebootcampwithpixiedust-170605031600-thumbnail.jpg?width=320&height=320&fit=bounds slideshow/data-science-bootcamp-with-pixie-dust/76643420 Data science bootcamp ... https://cdn.slidesharecdn.com/ss_thumbnails/pixiedustoverview-161024235043-thumbnail.jpg?width=320&height=320&fit=bounds slideshow/pixie-dust-overview/67604860 Pixie dust overview