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Big Data and Machine Learning - London - Meetup #16

Oct 9, 2018 · London, United Kingdom

PLEASE NOTE: Limited to 130 attendees!

Welcome to the next in the BD&ML Meetup series, and what we hope will be another interesting evening of presentations and networking

The agenda is listed below, followed by further details about the presentations and their presenters.

In an attempt to address the high number of no-shows we typically see at Meetups, we kindly request that you register your intent to attend this event via CVENT (http://www.cvent.com/d/ngqttk/4W).

RSVPing via this Meetup portal is NOT sufficient – only registrations made via CVENT will be admitted!

Kindest regards
Mark

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Agenda

18:30 Doors open and networking

18:55 Welcome
Mark Whalley

19:00 Building ML algorithms using Vertica SQL
Mark Whalley

19:45 Introducing the Seahorse project: quantifying and maximising data value
Michael McGrath

20:30 Beer, Pizza and Networking

21:30 Close

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Building ML algorithms using Vertica SQL
In last month’s Meetup I introduced Vertica’s SQL to prepare data for machine learning and predictive analytics. This follow-up talk expands on The Lab Series project to demonstrate how simple-to-use SQL function calls can be used to build regression, classification and clustering algorithms for machine learning.

A Jupyter notebook is being made freely available for those wanting to follow or become actively involved in this project.

Mark Whalley
From the early 1980s, Mark worked with Michael Stonebraker's Ingres RDBMS and then a number of column-store big data analytic technologies. In 2016, he joined HPE Big Data Platform as a Vertica Systems Engineer, and from September 2017 followed Vertica as it moved over to Micro Focus.

Mark frequently delivers talks at the London, Cambridge and Munich Big Data & Machine Learning Meetups, Vertica Forums and elsewhere, and is a regular blogger on my.Vertica.com.

Michael McGrath
Michael is the Chief Strategist for Information Archiving and eDiscovery at Micro Focus. He is a long standing practitioner and award winning researcher with over 20 years experience of machine learning and analytics. He believes that society and organisations benefit when data is properly managed and is initiating a project to promote better data management through data lifecycle management, valuation, interoperability and provenance & robustness.

Event organizers
  • Big Data and Machine Learning - London

    This group is open to anyone who has an interest in Big Data and Machine Learning. Whether that be as a student, academic, researcher, advocate, employee or employer working in Big Data and Machine Learning – or even have just an inquisitive mind, you are all encouraged to join this group and will be welcomed to our Meetups. We will discuss, and have presentations, demonstrations and maybe the occasional hackathon, that will cover a wide, varying and hopefully interesting range of topics. These will includ

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