Handbook and recipes for data-driven solutions of real-world problems
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Vademecum of Practical Data Science | Handbook and recipes for data-driven solutions of real-world problems | datasciencevademecum.wordpress.com Reviews
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Handbook and recipes for data-driven solutions of real-world problems
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Vademecum of Practical Data Science. Handbook and recipes for data-driven solutions of real-world problems. In-Memory Logical Data Warehouse for accelerating Machine Learning Pipelines on top of Spark and Alluxio. The Barclays Data Science Hackathon: Building Retail Recommender Systems based on Customer Shopping Behaviour. Surfing and Coding in Lanzarote, the Barclays Data Science hackathon. Robust and declarative machine learning pipelines for predictive buying. Thoughts about data operations. AGILE DAT...
The Barclays Data Science Hackathon: Building Retail Recommender Systems based on Customer Shopping Behaviour | Vademecum of Practical Data Science
https://datasciencevademecum.wordpress.com/2016/09/13/the-barclays-data-science-hackathon-building-retail-recommender-systems-based-on-customer-shopping-behaviour
Vademecum of Practical Data Science. Handbook and recipes for data-driven solutions of real-world problems. Surfing and Coding in Lanzarote, the Barclays Data Science hackathon. In-Memory Logical Data Warehouse for accelerating Machine Learning Pipelines on top of Spark and Alluxio →. The Barclays Data Science Hackathon: Building Retail Recommender Systems based on Customer Shopping Behaviour. September 13, 2016. From Data Science Milan meetup event. The talk will cover:. Click to email (Opens in new win...
Gianmario | Vademecum of Practical Data Science
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Vademecum of Practical Data Science. Handbook and recipes for data-driven solutions of real-world problems. Data Scientist with experience on building data-driven solutions and analytics for real business problems. His main focus is on scaling machine learning algorithms over distributed systems. Co-author of the Agile Manifesto for Data Science (datasciencemanifesto.com), he loves evangelising his passion for best practices and effective methodologies amongst the data geeks community. September 19, 2016.
Vademecum of Practical Data Science | Handbook and recipes for data-driven solutions of real-world problems | Page 2
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Vademecum of Practical Data Science. Handbook and recipes for data-driven solutions of real-world problems. Newer posts →. Mapping DataFrame to a typed RDD. March 1, 2016. I have recently published a blog post on DZone “ Making the Impossible Possible with Tachyon: Accelerate Spark Jobs from Hours to Seconds. There are a bunch of reasons why you would like to make your DataFrame typed, the following is a summary:. Typed Case Class Mapping. If there are no null values in any row, we could use pattern matc...
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Vademecum of Practical Data Science | Handbook and recipes for data-driven solutions of real-world problems
Vademecum of Practical Data Science. Handbook and recipes for data-driven solutions of real-world problems. In-Memory Logical Data Warehouse for accelerating Machine Learning Pipelines on top of Spark and Alluxio. September 19, 2016. Legacy enterprise architectures still rely on relational data warehouse and require moving and syncing with the so-called “Data Lake” where raw data is stored and periodically ingested into a distributed file system such as HDFS. In this talk we will:. Show how to deploy All...
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