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Bevorstehende Events (5)
𝗔𝗗𝗦 𝗗𝗿𝗶𝗻𝗸𝘀 & 𝗗𝗮𝘁𝗮: 𝗧𝗲𝗰𝗵 𝗧𝗮𝗹𝗸𝘀 𝗶𝗻 𝗗𝗮𝘁𝗮 𝗦𝗰𝗶𝗲𝗻𝗰𝗲, 𝗔𝗜 𝗮𝗻𝗱 𝗠𝗮𝗰𝗵𝗶𝗻𝗲 𝗟𝗲𝗮𝗿𝗻𝗶𝗻𝗴 Amsterdam Data Science would like to invite you to a special Drinks & Data event at the Spark + AI Summit that will then be ongoing at the RAI Exhibition Center in Amsterdam. In collaboration with Databricks and WiTNL we will be aiming to help connect and empower women in Data Science, AI and ML, and their allies. Tech Talks will focus on highly technical themes and topics to give an in depth view of our speakers' cutting edge research. 𝗣𝗿𝗼𝗴𝗿𝗮𝗺𝗺𝗲 18:30 Walk-in & Drinks 19:00 Welcome & Introduction by ADS, Databricks & WiTNL 19:15 Invited Talk #1: Understanding the Depop Inventory by Clemence J Burnichon 𝘓𝘦𝘢𝘥 𝘋𝘢𝘵𝘢 𝘚𝘤𝘪𝘦𝘯𝘵𝘪𝘴𝘵 𝘢𝘵 𝘋𝘦𝘱𝘰𝘱 19:50 Invited Talk #2: How to Create a Scalable Machine Learning Pipeline Leveraging Databricks' Ecosystem by Adi Polak 𝘚𝘦𝘯𝘪𝘰𝘳 𝘊𝘭𝘰𝘶𝘥 𝘋𝘦𝘷𝘦𝘭𝘰𝘱𝘦𝘳 𝘈𝘥𝘷𝘰𝘤𝘢𝘵𝘦 𝘢𝘵 𝘔𝘪𝘤𝘳𝘰𝘴𝘰𝘧𝘵 20:25 Invited Talk #3: How to Make Knowledge Graphs Work for Humans by Laura Hollink 𝘛𝘦𝘯𝘶𝘳𝘦 𝘛𝘳𝘢𝘤𝘬 𝘙𝘦𝘴𝘦𝘢𝘳𝘤𝘩𝘦𝘳, 𝘐𝘯𝘧𝘰𝘳𝘮𝘢𝘵𝘪𝘰𝘯 𝘈𝘤𝘤𝘦𝘴𝘴 𝘢𝘵 𝘊𝘞𝘐 21:00 End 𝗗𝗲𝘁𝗮𝗶𝗹𝘀 Date: Tuesday 15th October Time: 18:30-21:00 Location: Forum Room @ RAI Exhibition Center *** Registration is free but you must do so in advance through Meetup. The event will be in English and is open to all. *** Amsterdam Data Science (ADS) accelerates data science research by connecting, sharing and showcasing world-class technology, expertise and talent from Amsterdam on a regional, national and international level. Our research enables business and society to better gather, store, analyse and present data in order to gain valuable insights and make informed decisions. Women in Tech NL is the Dutch chapter of Women in Tech - Global Movement and it is a global platform with members from 60 countries in the world. Their goal is to bring together Academia, Industry and the Start-Ups, individuals and organisations, women and men, everyone who is dedicated to work towards closing the gender gap in tech. *** We will be taking photos of the event and posting them on the ADS website and social media channels. If you have any questions or concerns, please contact us through this Meetup page or via the ADS website: www.amsterdamdatascience.nl
𝗔𝗗𝗦 𝗗𝗿𝗶𝗻𝗸𝘀 & 𝗗𝗮𝘁𝗮: 𝗔-𝗭 𝗼𝗳 𝗗𝗮𝘁𝗮 𝗦𝗰𝗶𝗲𝗻𝗰𝗲 Ever wondered how Data Science can be applied to every-day problems? In this ADS Drinks & Data Meetup we hear from three Data Scientist about the work they've carried out, from identifying the problem to how they used Data Science to solve it. 𝗠𝗮𝗿𝗶𝗲𝗸𝗲 𝘃𝗮𝗻 𝗘𝗿𝗽 Lead Digital Humanities Lab at KNAW Chair 𝗗𝗮𝗮𝗻 𝗢𝗱𝗶𝗷𝗸 Lead Data Scientist at RTL Invited Talk #1 Topic: Searching to be Entertained Daan is the Lead Data Scientist at RTL, where he takes on the challenges of a broadcaster, such as delivering content more personally. Daan was previously at Blendle, leading a team of data scientist and engineers to help the news aggregator become more data-driven and the user experience more personal. As an applied researcher, he actively pursues collaborations to put research into practice. Daan enjoys bridging disciplines and the challenges of working with a team to use data to improve a product experience. 𝗖𝗵𝗮𝗻𝘁𝗮𝗹 𝘃𝗮𝗻 𝗦𝗼𝗻 PhD candidate in Computational Linguistics at VU Invited Talk #2 Topic: Alternative Facts: Finding Contradicting Information In and Across Texts Chantal van Son is a PhD candidate in Computational Linguistics and is conducting her research in the Computational Lexicology and Terminology Lab (CLTL) at the VU Amsterdam. Her research focuses on finding contradicting information in and across texts, for instance when one fact is in conflict with another, or when two people express different perspectives towards the same statement. In the age of 'alternative facts', 'fake news' and 'filter bubbles', she hopes to contribute to more complete, transparent and balanced access to information for web users. Her use case is the online vaccination debate, which has been one of the most heated and polarised debate topics for years now, and which impact on public health is evident. 𝗙𝗹𝗮𝘃𝗶𝗮 𝗕𝗮𝗿𝘀𝗼𝘁𝘁𝗶 Model Risk Oversight at ING Invited Talk #3 Topic: Data Science and Modelling Flavia is working for ING Bank in Model Risk Oversight. She has joined ING Bank in January 2019 in Model Validation. Before ING, Flavia has been working for UniCredit Group as quantitative analyst, on design and development of internal models on the trading book side (Counterparty Credit Risk) and stress tests for behavioural models (Interest Rate Risk) on the banking book side. Before joining the banking sector, Flavia has worked as Maître de Conférences at University of Lyon (Mathematics and Mathematical Applications), after a 1 year Post-Doc position in quantitative finance and applied mathematics at University of Florence. She is still active in scientific research. Flavia holds a PhD in Mathematics for Economic Decisions obtained through a joint program between University of Pisa & University of Toulouse. She believes that research and risk modeling can benefit from synergies between science and business to meet the challenging demands for ‘’future banking’’. 𝗣𝗿𝗼𝗴𝗿𝗮𝗺𝗺𝗲 17:00 Walk-in & Drinks 17:15 Welcome & Introduction 17:30 Invited Talk #1: Searching to be Entertained 18:00 Invited Talk #2: Alternative Facts 18:30 Invited Talk #3: Data Science and Modelling 19:00 Questions & Answers 19:30 Drinks, Pizza & Networking 20:00 End 𝗗𝗲𝘁𝗮𝗶𝗹𝘀 Date: Thursday 24 October 2019 Time: 17:00-20:00 Location: Science Park 904, room C0.05
𝗤𝘂𝗮𝗻𝘁𝘂𝗺 𝗖𝗼𝗺𝗽𝘂𝘁𝗶𝗻𝗴 𝗶𝗻 𝗕𝗮𝗻𝗸𝗶𝗻𝗴 & 𝗙𝗶𝗻𝗮𝗻𝗰𝗲 Join Amsterdam Data Science for this conference on the challenges and implications of Quantum Computing on Banking & Finance, with world renowned speakers from academia and the industry. Please register for this event via Eventbrite: https://www.eventbrite.com/e/quantum-computing-in-banking-finance-tickets-73561964817 𝗣𝗿𝗼𝗴𝗿𝗮𝗺𝗺𝗲 14:00 𝙌𝙪𝙖𝙣𝙩𝙪𝙢 𝘾𝙤𝙢𝙥𝙪𝙩𝙞𝙣𝙜 𝙁𝙪𝙣𝙙𝙖𝙢𝙚𝙣𝙩𝙖𝙡𝙨 - Outlook on Quantum Computing Technology by Barbara Terhal (Professor at QuTech/TU Delft) - Algorithms and Software for Quantum Applications (in finance) by Stacey Jeffery (CWI & UvA) 15:00 𝙄𝙢𝙥𝙡𝙞𝙘𝙖𝙩𝙞𝙤𝙣𝙨 𝙛𝙤𝙧 𝘽𝙖𝙣𝙠𝙞𝙣𝙜 𝙖𝙣𝙙 𝙁𝙞𝙣𝙖𝙣𝙘𝙚 (1) General overview by Stefan Woerner (Global Lead Quantum Finance & Optimization, IBM Research, Zurich) 15:30 𝙄𝙢𝙥𝙡𝙞𝙘𝙖𝙩𝙞𝙤𝙣𝙨 𝙛𝙤𝙧 𝘽𝙖𝙣𝙠𝙞𝙣𝙜 𝙖𝙣𝙙 𝙁𝙞𝙣𝙖𝙣𝙘𝙚 (2) - Risk Analytics by Drona Kandhai & Adil Acun (Quantitative Analytics, ING) - Quantum computing and payment systems by Oscar Covers (Cyber Security Analyst, Betaalvereniging) - Information security by Dimitri van Esch & Shairesh Algoe (Quantum Computing Leads, ABNAMRO) 16:30 𝙌𝙪𝙚𝙨𝙩𝙞𝙤𝙣𝙨 & 𝘿𝙞𝙨𝙘𝙪𝙨𝙨𝙞𝙤𝙣 𝙬𝙞𝙩𝙝 𝙩𝙝𝙚 𝙎𝙥𝙚𝙖𝙠𝙚𝙧𝙨 Moderated by Hans van Loon (Cybersecurity Advisory, NVB) 16:45 Drinks & Networking 17:30 End This programme will be moderated by Hans Amman and Marc Salomon from the University of Amsterdam Business School. 𝗗𝗲𝘁𝗮𝗶𝗹𝘀 Date: Friday 8th November 2019 Time: 15:00-17:30 Location: Koninklijke Industrieele Groote Club, Dam 27, 1012 JS, Amsterdam *** Registration is free but you must do so in advance through Eventbrite: https://www.eventbrite.com/e/quantum-computing-in-banking-finance-tickets-73561964817 The event will be in English and is open to all. *** Amsterdam Data Science (ADS) accelerates data science research by connecting, sharing and showcasing world-class technology, expertise and talent from Amsterdam on a regional, national and international level. Our research enables business and society to better gather, store, analyse and present data in order to gain valuable insights and make informed decisions. *** We will be taking photos of the event and posting them on the ADS website and social media channels. If you have any questions or concerns, please contact us through this Meetup page or via the ADS website: www.amsterdamdatascience.nl
Are you interested in all the incredible ways sport data can be used? Do you want to help people run faster and run smarter? Or are you interested in the small details that have the biggest impact on competition day? Join us for the very first Sport Data Challenge for a chance to show off your data skills and win amazing prizes. 𝗪𝗲 𝗵𝗮𝘃𝗲 𝗹𝗶𝗺𝗶𝘁𝗲𝗱 𝗽𝗹𝗮𝗰𝗲𝘀 𝗮𝘃𝗮𝗶𝗹𝗮𝗯𝗹𝗲 𝘀𝗼 𝗿𝗲𝗴𝗶𝘀𝘁𝗲𝗿 𝘆𝗼𝘂𝗿 𝗶𝗻𝘁𝗲𝗿𝗲𝘀𝘁 𝗡𝗢𝗪. You must register through this link: http://bit.ly/sportdatachallenge Once registration closes we will be in contact with more information. 𝗪𝗵𝗼 𝗮𝗿𝗲 𝘄𝗲 𝗹𝗼𝗼𝗸𝗶𝗻𝗴 𝗳𝗼𝗿? We are looking for students (Bachelors, Masters or PhDs) who are looking for a challenge in creating a real impact in the world of Dutch sports. We want your help to revolutionize and innovate the field and take Dutch sports to the next level. If you are passionate about data and have knowledge and experience with data science, machine learning, algorithms or artificial intelligence, sign up here! 𝗣𝗿𝗼𝗴𝗿𝗮𝗺𝗺𝗲 12:30 - Welcome lunch 13:00 - Keynote 13:30 - Introduction 14:00 - Challenge 19:00 - Pizza & Wrap-up 20:00 - Ceremony & Drinks 21:30 - End 𝗗𝗮𝘁𝗮 How? Thanks to Le Champion - Various running events - Multiple years - Runner information - Fun details such as shoe brand - Distance/time intervals - Type of runner (e.g. amature) 𝗘𝘅𝗮𝗺𝗽𝗹𝗲 𝗖𝗵𝗮𝗹𝗹𝗲𝗻𝗴𝗲 𝗤𝘂𝗲𝘀𝘁𝗶𝗼𝗻𝘀 “What is the impact of bad weather and how can the organisation react?” “What does it take to run the Dam tot Dam Loop in less than two hours? Can a speed analyses help?” 𝗪𝗲 𝗵𝗮𝘃𝗲 𝗹𝗶𝗺𝗶𝘁𝗲𝗱 𝗽𝗹𝗮𝗰𝗲𝘀 𝗮𝘃𝗮𝗶𝗹𝗮𝗯𝗹𝗲 𝘀𝗼 𝗿𝗲𝗴𝗶𝘀𝘁𝗲𝗿 𝘆𝗼𝘂𝗿 𝗶𝗻𝘁𝗲𝗿𝗲𝘀𝘁 𝗡𝗢𝗪. You must register through this link: http://bit.ly/sportdatachallenge Once registration closes we will be in contact with more information.