The future of machine learning-Panel Discussion

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Please RSVP here AND register at SkillsMatter (https://skillsmatter.com/meetups/8340-the-future-of-machine-learning-panel-discussion) to confirm your place.

Join us for our Data Science Panel September 21st 2016.

ODSC (https://www.odsc.com/london) and deepsense.io (http://deepsense.io/) have a pleasure to host an evening panel discussion on the future of machine learning. The technical discussion will be focused on the most popular and effective machine learning (deep learning in particular) techniques and solutions.

6:00 - 7:00pm Networking & Drinks

7:00 - 8:15pm Panel + Q&A

8:15 - 9:30pm Networking & Food

Panellist 1) Mike MacIntyre

Mike has a career in industry combining data analytics for both financial fraud and cyber security, working in the main for the world¹s largest commercial organizations. As Chief Scientist at Panaseer, Mike is responsible for researching, experimenting and applying computational and analytical techniques to derive new insights in cyber security. Mike holds a PhD and MSc in Astrophysics from the University of Sussex, as well as a BSc in Physics from the University of St. Andrews.

Panellist 2) Daniel Hulme

Daniel is the CEO of Satalia that provides AI inspired solutions to solve industries hardest problems. He’s the co-founder of the Advanced Skills Initiative that transitions scientists into industry as data-scientists. Daniel has a Masters and Doctorate in AI from UCL, and is Director of UCL’s Business Analytics MSc; applying AI to solve business/social problems. He lectures in Computer Science and Business.

Daniel has Advisory and Executive positions in many companies, he holds an international Kauffman Global Entrepreneur Scholarship and actively promotes entrepreneurship and technology innovation across the globe.

Panellist 3) Miriam Redi

Miriam Redi is a Research Scientist in the Social Dynamics team at Bell Labs Cambridge. Her research focuses on content-based social multimedia understanding and culture analytics. In particular, she explores ways to automatically assess visual aesthetics, sentiment and creativity, and exploit the power of computer vision in the context of web, social media, and online communities. Miriam got her Ph.D. at the Multimedia group in EURECOM, Sophia Antipolis. After obtaining her PhD, she was a Postdoc in the Social Media group at Yahoo Labs Barcelona and a Research Scientist at Yahoo London.

Panellist 4) Jan Milczek

Jan is one of the founding members of deepsense.io (http://deepsense.io/)'s data science team, which, on top of the machine learning services it provides, has placed highly in numerous competitions. He has a strong computer science background as a two-time champion of the Polish Olympiad in Informatics and used to lead courses for middle and high school students in algorithms and data structures. In his data science work, he puts heavy emphasis on validation routines.

Panellist 5) Martin Goodson

VP Data Science at Skimlinks. Data scientist lead specialising in natural language processing with internet-scale data sets and statistical modeling of human behaviour. Specialist in leading R&D for data driven products.Skills: Bayesian Statistics, Machine learning, Big Data, Spark

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deepsense.io (http://deepsense.io/) is a big data science company established by former Google, Facebook and Microsoft software engineers and data scientists. The company provides Clients around the world with the following three value propositions:Machine learning and deep learning consulting and development services

The product: Seahorse – a scalable data analytics workbench powered by Apache Spark built for data scientists to provide them with capabilities to visually design, edit and execute Spark applications using a web-based code-free interfaceHands-on workshops focused on big data analytics, machine learning, deep learning and Apache Spark.