• Machine Learning Across Disciplines

    Impact Hub Zürich - Colab

    Speaker: Vahid Moosavi, Postdoctoral Researcher at ETH https://vahidmoosavi.com/about/ Topic: Machine Learning Across Disciplines Schedule: 6:30pm - 7:00pm - ODSC Intro 7:00pm - 7:50pm - Talk 7:50pm - 8:00pm - Q&A 8:00pm - 8:30pm - Networking and Apero Bio: Dr. Vahid Moosavi is a systems engineer with long-standing experience in machine learning techniques and their applications in architectural design and urban and spatial modeling. Parallel to researching and teaching at ETH, he has been conducting several applied machine-learning projects on a wide range of topics including structural design, urban traffic, air pollution, real estate market and urban flood risk. Currently, he is also working on his book "Data-Driven Modeling for Engineering Applications: An Orthogonal View to Classical Scientific Modeling. Abstract: Machine Learning and Big Data together offer a universal way of looking at the world phenomena, which is radically different than the classical expert based disciplinary research. This new approach of computational modeling has inverted the classical notion of expertise from “having the answers to the known questions” to “learning to ask good questions”, where the answers can always be found with an appropriate level of modeling skills. While trying to categorize machine learning applications, in this talk I will show the results of some of our ongoing data-driven projects in different domains such as structural design and from finding, planetary analysis of urban form and density, real estate market, urban air pollution and urban flood risk estimations using deep learning as surrogate to computational fluid dynamics. ODSC Links: • Get free access to more talks like this at LearnAI: https://learnai.odsc.com/ • Facebook: https://www.facebook.com/OPENDATASCI/ • Twitter: https://twitter.com/odsc & @odsc • LinkedIn: https://www.linkedin.com/company/open-data-science/ • West Conference Oct 29 - Nov 1: https://odsc.com/california • Europe Conference Nov 19 - 22: https://odsc.com/london

  • Drinks with Data Scientists

    Haus Hiltl

    Join our Drinks with Data Scientists! Enjoy this great opportunity to connect with your fellow Data Scientists, share knowledge, experiences and mainly have some fun with like-minded people. That will be an amazing networking time together. Starting at 7pm Place: Haus Hiltl - Sihlstrasse 28, 8001 Zürich, Switzerland Invite your friends, or come by yourself and make new ones! • Get free access to more talks like this at LearnAI: https://learnai.odsc.com/ • Facebook: https://www.facebook.com/OPENDATASCI/ • Twitter: https://twitter.com/odsc & @odsc • LinkedIn: https://www.linkedin.com/company/open-data-science/ • East Conference Apr 30 - May 4: https://odsc.com/boston

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  • Neural Network Architectures

    Impact Hub Zürich - Colab

    Speaker: Martin Ockajak, Lead Software Engineer at Seervision https://www.linkedin.com/in/martin-ockajak/ Topic: Neural Network Architectures Schedule: 6:00pm - 6:30pm - ODSC Intro 6:30pm - 7:20pm - Talk 7:20pm - 7:30pm - Q&A 7:30pm - 8:00pm - Networking and Apero Bio: Martin Ockajak is a software engineer interested in artificial intelligence, functional programming and distributed systems. He also enjoys colorful things, dry humor and dancing. Abstract: Many state of the art machine learning applications today are based on artificial neural networks. In this talk, we explore several commonly used neural network architectures. We identify the ideas behind their design, describe their topologies, outline their properties and discuss their use. You might enjoy this talk if you are interested in: * Discovering some of the popular neural network types * Learning about their design and how they work * Understanding what are they are good for ODSC Links: • Get free access to more talks like this at LearnAI: https://learnai.odsc.com/ • Facebook: https://www.facebook.com/OPENDATASCI/ • Twitter: https://twitter.com/odsc & @odsc • LinkedIn: https://www.linkedin.com/company/open-data-science/ • East Conference Apr 30 - May 3: https://odsc.com/boston

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  • Happy Hour with Data Scientists

    Haus Hiltl

    Join our Happy Hour with Data Scientists! Enjoy this great opportunity to exchange information on challenges, experiences and goals with fellow Data Scientists. That will be an amazing networking time together. Starting at 7pm Place: Haus Hiltl - Sihlstrasse 28, 8001 Zürich, Switzerland Invite your friends, or come by yourself and make new ones! • Get free access to more talks like this at LearnAI: https://learnai.odsc.com/ • Facebook: https://www.facebook.com/OPENDATASCI/ • Twitter: https://twitter.com/odsc & @odsc • LinkedIn: https://www.linkedin.com/company/open-data-science/ • East Conference Apr 30 - May 4: https://odsc.com/boston

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  • Drinks with Data Scientists

    Haus Hiltl

    Join our first Drinks with Data Scientists! Enjoy this great opportunity to connect with your fellow Data Scientists, share knowledge, experiences and mainly have some fun with like-minded people. Let's have an amazing networking time together! Starting at 6.30 pm Place: Haus Hiltl - Sihlstrasse 28, 8001 Zürich, Switzerland Invite your friends, or come by yourself and make new ones!! • Get free access to more talks like this at LearnAI: https://learnai.odsc.com/ • Facebook: https://www.facebook.com/OPENDATASCI/ • Twitter: https://twitter.com/odsc & @odsc • LinkedIn: https://www.linkedin.com/company/open-data-science/ • East Conference Apr 30 - May 4: https://odsc.com/boston

  • LIVESTREAMING & VIDEO ACCESS - ODSC West 2018

    Livestream from Hyatt Regency Airport Hotel

    This year’s 2018 ODSC West - www.odsc.com/california - brings together the most influential data scientists, practitioners, innovators, and thought leaders in Data Science, Artificial Intelligence, and Big Data. Register for this event at: https://www.eventbrite.com/e/livestreaming-video-access-odsc-west-2018-open-data-science-conference-tickets-50662186965 ODSC West showcases the best and the brightest when it comes to Data Science, including many open source data science pioneers. This 2-day event will give you access to a total of 22 talks and 4 keynotes. Moreover get access to recorded sessions of over 44 Talks, 23 Workshops, and 35 AI business talks. 48 Hours before the conference you will receive a link to gain access to the live streaming portal. We’ve organized multiple tracks, each highlighting their unique collaborations and convergences. * Open Visualization / Design compelling graphics and tell stories with data * Machine & Deep Learning / Learn the latest models, advancements & trends * Data Science Research / Hear from top academics and researchers about the latest developments * Data Science Kick-Starter / Learn the essentials for your data science career * Big Data Science / Witness the intersection of big data and data analytics * Open Data Science / Harness the universe of free data Ticket Options **LIVE STREAMING 1-DAY PASS: THIS IS A 1-DAY PASS for FRIDAY. Get access to selected ODSC talks and ODSC Keynote speakers. Total of 11 talks and 2 keynotes. **LIVE STREAMING 2-DAY PASS: THIS IS A 2-DAY PASS: Friday & Saturday. Get access to selected ODSC talks and ODSC Keynote speakers. Total of 22 talks and 4 keynotes. **LIVE STREAMING&VIDEO ACCESS PASS: THIS IS A 2-DAY PASS: Friday & Saturday. Get access to selected ODSC talks and ODSC Keynote speakers. Total of 22 talks and 4 keynotes. Moreover get access to recorded sessions of 44 Talks, 23 Workshops, and 38 recorded AI business talks. Where can I contact the organizer with any questions? [masked] What is the Privacy Policy? In summary; registrant contact information is NOT shared with third parties without your consent. Registrant information is primarily used to verify registration and notify you of similar events held by ODSC in future. We may share your contact information with sponsors but only with your consent upon registering. What is the Refund Policy? No refunds at any time. Terms & Conditions To obtain a high-quality audience at the Conferences, ODSC reserves the right to revoke any purchased tickets from an attendee without explanation.

  • WEBINAR: ODSC West Online Warm-Up (Free)

    Needs a location

    ODSC West is getting closer! We want to invite you to participate in ODSC West's Warm-Up. To access this webinar, please register using the link below: https://attendee.gotowebinar.com/register/3338809288646589441 After our great Part 1, we are bringing 4 new speakers from our ODSC West Conference to present 30 minutes sessions. Matthew Rubashkin, Ph.D. AI Program Director at Insight Data Science: Building an image search service from scratch Michael Mahoney, Ph.D. - Matrix Algorithms at Scale: Randomization and using Alchemist to bridge the Spark-MPI gap George Williams, Director of Data Science at GSI Technology, Inc: Visual Search: The Next Frontier of Search Joshua Cook, Curriculum Developer at Databricks: Engineering for Data Science Nisha Talagala, CTO/VP of Engineering at ParallelM: Bringing Your Machine Learning and Deep Learning Algorithms to Life: From Experiments to Production Use Full Agenda Detail Session 1 - Building an image search service from scratch Speaker: Matthew Rubashkin, PhD Abstract: We are bringing a workshop on how you would go about building your representations, both for image and text data, and efficiently do similarity search. By the end of this workshop, you should be able to build a quick semantic search model from scratch, no matter the size of your dataset. Session 2 - Matrix Algorithms at Scale: Randomization and using Alchemist to bridge the Spark-MPI gap (30 Minutes) Speaker: Michael Mahoney, PhD Abstract: In this session, we will describe some of the underlying randomized linear algebra techniques. We'll describe Alchemist, a system for interfacing between Spark and existing MPI libraries that are designed to address this performance gap. We describe use cases from scientific data analysis that motivated the development of Alchemist and that benefit from this system. We'll also describe related work on communication-avoiding machine learning, optimization-based methods that can call these algorithms, and extending Alchemist to provide an ipython notebook <=> MPI interface. Session 3 - Visual Search: The Next Frontier of Search (30 Minutes) Speaker: George Williams Abstract: In this session, you will learn the latest state-of-the-art visual search research and techniques as the speakers will share their in-depth knowledge on the subject, how to scale your visual search solution to address the billion-scale problem and how to train models that provide more specific and accurate results for visually rich categories. Session 4 - Engineering for Data Science (30 Minutes) Speaker: Joshua Cook Abstract: This talk will discuss Docker as a tool for the data scientist, in particular in conjunction with the popular interactive programming platform, Jupyter, and the cloud computing platform, Amazon Web Services (AWS). Using Docker, Jupyter, and AWS, the data scientist can take control of their environment configuration, prototype scalable data architectures, and trivially clone their work toward replicability and communication. This talk will toward developing a set of best practices for Engineering for Data Science. Speaker: Nisha Talagala Abstract: In this hands-on workshop, attendees will learn how to take Machine Learning and Deep Learning programs into a production use case and manage the full production lifecycle. This workshop is targeted for data scientists, with some basic knowledge of Machine Learning and/or Deep Learning algorithms, who would like to learn how to bring their promising experimental results on ML and DL algorithms into production success.

  • ODSC-EUROPE 2018 (PAID EVENT)

    Hotel Novotel London West

    Buy your ticket at: https://odsc.com/london About the Conference The 3rd annual ODSC Europe in London brings together the most influential data scientists, practitioners, innovators, and thought leaders in Data Science, Artificial Intelligence and Big Data. ODSC Europe showcases the best and the brightest when it comes to Data Science, including many open source data science pioneers. This 4-day event will feature 90 in-depth talks, 23 hands-on workshops and 12 intense half and full-day training sessions. Day One - Accelerate AI Sessions The Accelerate AI Business Summit holds talks and panels about the Business of AI and data science plus network with industry leaders. Day Two - Training Sessions Enhance your data science skills through 12 training sessions taught by world-class data science instructors, in small class sizes. Here you'll strengthen your technical skills and boost your professional profile through hands-on trainings led by core contributors. Day's Three and Four - Workshop and Talk Sessions Further your data science knowledge and connect with like-minded individuals at the many conference talks and workshops. Tools, Topics, and Languages Impress your boss and colleagues with the skills you gain at ODSC Europe. Here’s just a sample of the tools, topics, and languages we'll be covering in 3 days: Topics: Deep Learning, Machine Learning, Predictive Analytics, Natural Language Processing, Big Data Languages: Python, R Julia, Scala, Pig/Hive/NoSQL Tools: Apache Spark, MLlib, Tensorflow, Caffe, Scikit-learn, Azure ML, Amazon ML, H20.ai, Neo4J, D3.js, R-Shiny, Hadoop Networking Opportunities Connect with 1,500 of your data science peers from around the world at these networking opportunities provided throughout the conference: Daily Coffee Breaks / Review the talks over coffee Lunch / Share a meal and ideas with like minded individuals Networking Reception / Meet to form business relationships Meet the Expert Session / Drop in and bring your questions to the experts Ticket Options SILVER PASS: THIS IS A 2-DAY PASS: FRIDAY & SATURDAY. Get access to talks, workshops and networking reception. GOLD PASS: THIS IS A 3-DAY PASS: THURSDAY, FRIDAY & SATURDAY. Get access to talks, workshops, networking reception plus training sessions (Trainings feature hands-on workshops in very small 50-person groups) A total of 12 training Sessions will be held on Thursday. Platinum PASS: THIS IS A 4-DAY PASS: WEDNESDAY, THURSDAY, FRIDAY & SATURDAY. On Wednesday get access to the Accelerate AI Business Summit to hear talks and panels about the Business of AI and data science plus network with industry leaders. On Thursday, Friday & Saturday get access to training, talks, workshops & networking reception at ODSC Europe. Diamond PASS: THIS IS A 4-DAY PASS: WEDNESDAY, THURSDAY, FRIDAY & SATURDAY. Get access to Accelerate AI Sessions held on Wednesday, reserved seating, VIP lunch, exclusive access to VIP lounge and VIP networking events. On Thursday, Friday & Saturday access to training, talks, workshops, & networking reception at ODSC Europe. ACCELERATE AI PASS: THIS IS A 1-DAY PASS: WEDNESDAY. On WEDNESDAY get access to the AXI Business Summit to hear talks and panels about the Business of AI and data science plus network with industry leaders. Where can I contact the organizer with any questions? [masked] What is the Privacy Policy? In summary; registrant contact information is NOT shared with third parties without your consent. Registrant information is primarily used to verify registration and notify you of similar events held by ODSC in the future. We may share your contact information with sponsors but only with your consent upon registering. What is the Refund Policy? Cancellations within 30 days of the event are non-refundable.

  • ODSC Europe Online Warm-Up (Free)

    Needs a location

    We are very excited to our ODSC Europe next month! As we get closer to the conference, we want to invite you to participate in ODSC Europe's Online Warm-Up. To access this webinar, please register using the link below: https://register.gotowebinar.com/register/656457212932939779 We will features 4 speaker from our upcoming ODSC Europe conference in London each of which will present a 30 minute sessions including: Jeffrey Yau, PhD - Multivariate time series forecasting using statistical and machine learning models Alan Ruter - Telling Stories with Data Dr. Jan Freyberg - Interactive data visualisation in python Dr. Colin Gillespie - Getting to grips with the Tidyverse ® Full Agenda Detail Session 1 - Interactive data visualisation in python (30 Minutes) Speaker: Dr. Jan Freyberg Bio: Dr Jan Freyberg is a data scientist at ASI. He has worked on data science projects in the private and public sector. Jan completed a PhD and a fellowship studying brain activity, vision and consciousness in autism at the University of Cambridge and King’s College London Abstract: Creating interactive visualisations adds a layer of complexity to the data science workflow: during modelling and data exploration, interactivity is effectively achieved by re-running chunks of code with different parameters. In this overview, we will introduce the python libraries that make this extra development as frictionless as possible. Libraries to be used include ipywidgets, plotly, and plotly dash. Session 2 - Telling Stories with Data (30 Minutes) Speaker: Alan Ruter Bio: Alan Rutter is the co-founder of consultancy Clever Boxer. He has taught data visualisation techniques to thousands of students, and for organisations including the Home Office, Department of Health, Biotechnology and Biosciences Research Council, Capita, Novartis and Kings College London. Abstract: This session will introduce an audience-centred approach to visualising data. It will cover with tried-and-tested techniques for communicating data-driven stories effectively to people from a broad range of backgrounds. Session 3 - Getting to Grips with the Tidyverse ® (30 Minutes) Speaker: Dr. Colin Gillespie Bio: Dr. Colin Gillespie is Senior lecturer (Associate Professor) at Newcastle University, UK. His research interests are high performance statistical computing and Bayesian statistics and also regularly employed as a consultant. Abstract: This overview aims to give a gentle introduction to the ideas behind some of the standard algorithms used in predictive analytics. The goal is to dispel the "magic" around common methods, such as lasso, logistic regression, naive bayes and others. Session 4 - Multivariate time series forecasting using statistical and machine learning models (30 Minutes) Speaker: Jeffrey Yau, PhD Bio: Jeffrey is the Chief Data Scientist at AllianceBernstein, a global investment firm managing over $500 billions. Graduated with a Ph.D. in economics from the University of Pennsylvania. Abstract: This overview introduces the formulation Vector Autoregressive (VAR) Models, one of the most important class of multivariate time series statistical models, and neural network-based techniques, demonstrates how they are implemented in practice, and compares their advantages and disadvantages used in practice.