Presented By O'Reilly and Cloudera
Make Data Work
22–23 May 2017: Training
23–25 May 2017: Tutorials & Conference
London, UK

Schedule: Text Analysis and Mining sessions

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9:00 - 17:00 Monday, 22 May & Tuesday, 23 May
Spark & beyond
Location: Capital Suite 7
Zoltan Toth (Databricks)
Average rating: ****.
(4.00, 2 ratings)
The real power and value proposition of Apache Spark is in building a unified use case that combines ETL, batch analytics, real-time stream analysis, machine learning, graph processing, and visualizations. Zoltan Toth employs hands-on exercises using various Wikipedia datasets to illustrate the variety of ideal programming paradigms Spark makes possible. Read more.
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9:0017:00 Tuesday, 23 May 2017
Spark & beyond
Location: Capital Suite 11
Stephane Rion (Big Data Partnership)
Average rating: ****.
(4.00, 2 ratings)
Stephane Rion introduces you to Apache Spark 2.0 core concepts with a focus on Spark's machine-learning library, using text mining on real-world data as the primary end-to-end use case. Read more.
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16:3517:15 Wednesday, 24 May 2017
Data science and advanced analytics
Location: Capital Suite 10/11
Level: Beginner
Jonathon Morgan (New Knowledge)
Average rating: *****
(5.00, 12 ratings)
Jonathon Morgan explores computer vision, deep learning, and natural language processing techniques for uncovering communities of white nationalists and neo-Nazis on social media and identifying which ones are on the path to radicalization. Read more.
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17:2518:05 Wednesday, 24 May 2017
Emerging Technologies, Strata Business Summit
Location: Capital Suite 15/16
Level: Non-technical
Adam Smith (Automated Insights)
Average rating: ***..
(3.75, 4 ratings)
Natural language generation, the branch of AI that turns raw data into human-sounding narratives, is coming into its own in 2016. Adam Smith explores the real-world advances in NLG over the past decade and then looks ahead to the next. Computers are already writing finance, sports, ecommerce, and business intelligence stories. Find out what—and how—they’ll be writing by 2026. Read more.