• Automated and Interpretable Machine Learning

    CIC Cambridge

    Speaker: Francesca Lazzeri, Ph.D., Senior Machine Learning Scientist at Microsoft https://www.linkedin.com/in/francescalazzeri/ Topic: Automated and Interpretable Machine Learning Schedule: 6:00pm - 6:30pm - ODSC Intro, Pizza & Refreshments 6:30pm - 7:20pm - Talk 7:20pm - 7:30pm - Q&A 7:30pm - 8:00pm - Networking Bio: Francesca Lazzeri, Ph.D. is Senior Machine Learning Scientist at Microsoft on the Cloud Advocacy team and expert in big data technology innovations and the applications of machine learning-based solutions to real-world problems. Her research has spanned the areas of machine learning, statistical modeling, time series econometrics and forecasting, and a range of industries – energy, oil and gas, retail, aerospace, healthcare, and professional services. Francesca periodically teaches applied analytics and machine learning classes at universities and research institutions around the world. She is Data Science mentor for Ph.D. and Postdoc students at the Massachusetts Institute of Technology, and speaker at academic and industry conferences - where she shares her knowledge and passion for AI, machine learning, and coding. Abstract: Automated machine learning is based on a breakthrough from Microsoft’s Research Division. The approach combines ideas from collaborative filtering and Bayesian optimization to search an enormous space of possible machine learning pipelines intelligently and efficiently, serving essentially as a recommender system for machine learning pipelines. On the other hand, when using an algorithm’s outcomes to make high-stakes decisions, it’s important to know which features it did and did not take into account. Additionally, if a model isn’t highly interpretable, the business might not be legally permitted to use its insights to make changes to processes. In this talk, Francesca Lazzeri will explain how you can combine automated machine learning and model interpretability to accelerate AI while still making sure that models are highly interpretable, minimizing model risk and making it easy for any enterprise to comply with regulations and best practices. 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

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  • Kubeflow, MLFlow and beyond - augmenting ML delivery

    Needs a location

    We want to invite you to participate in the ODSC Webinar! Date: July 16th Time: 1 pm - 2 pm EST To access this webinar, please register using the link below: https://attendee.gotowebinar.com/register/7095659106706909708 Reproducible ML pipelines in research and production with monitoring insights from live inference clusters could enable and accelerate the delivery of AI solutions for enterprises. There is a growing ecosystem of tools that augment researchers and machine learning engineers in their day to day operations. Still, there are big gaps in the machine learning workflow when it comes to training dataset versioning, training performance and metadata tracking, integration testing, inferencing quality monitoring, bias detection, concept drift detection and other aspects that prevent the adoption of AI in organizations of all sizes. In this webinar, we’ll design a reference machine learning workflow. We’ll review open source tools that contribute to this workflow and are applicable to build reproducible automation of it. Takeaways: - A deeper view on traps and pitfalls on each stage of ML lifecycle. - Reference implementation and automation of ML Workflow. Prerequisite knowledge: - Understanding of core Data Science methods, frameworks and libraries. - An image of what Docker and Kubernetes are. The webinar will be held by Stepan Pushkarev, CTO in Provectus. His background is in the engineering of data platforms. He spent the last couple of years building continuous delivery and monitoring tools for machine learning applications as well as designing streaming data platforms. He works closely with data scientists to make them productive and successful in their daily operations. 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/

  • Drinks with Data Scientists

    O'Brien's Irish Pub

    Join our Drinks with Data Scientists during Immersive AI! Enjoy this great opportunity to exchange information on challenges, experiences, and goals with fellow Data Scientists attending our Immersive AI conference. That will be an amazing networking time together. Starting at 4 pm Place: O'Brien's Irish Pub, 2nd Floor 134 West 46th St, New York, NY[masked]https://www.obriensnyc.com/ 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/ • India Conference Aug 7 - 10: https://india.odsc.com/ • West Conference Oct 29 - Nov 1: https://odsc.com/california • Europe Conference Nov 19 - 22: https://odsc.com/london

  • ODSC NYC 2019 - Immersive AI

    Convene

    ODSC NYC 2019 - Immersive AI - www.odsc.com/nyc Register now here: https://www.eventbrite.com/e/odsc-nyc-2019-immersive-ai-tickets-60844065237 Are you ready to learn new skills, meet with top companies looking to hire and accelerate your career? Learn from leading experts in hands-on trainings, and hear talks from mentors and career development experts to learn everything you need to grow your career in applied data science and artificial intelligence. Get career-advancing skills in data science, plus essential advice in our unique career mentor talks Upskill Learn from top experts in the field with hands-on training on the most important data science frameworks Connect Connect with our community of data scientists, including speakers, career experts, hiring companies, and others Launch Gain a foothold or advance your career in data science. Over two days, better understand your learning and career pathways Our experienced and passionate instructors provide hands-on training in the most important models, languages, and frameworks in machine learning and deep learning. Our Career Mentor sessions will help you discover your path to this exciting career.

  • Low-resource computational linguistics - problems and directions

    Speaker: Sneha Jha is a Senior Researcher at Nuance Communications https://www.linkedin.com/in/sneha-jha-700121b/ Topic: Low-resource computational linguistics - problems and directions Schedule: 6:00pm - 6:30pm - ODSC Intro, Pizza & Refreshments 6:30pm - 7:20pm - Talk 7:20pm - 7:30pm - Q&A 7:30pm - 8:00pm - Networking Bio: Sneha Jha is a Senior Researcher at Nuance Communications and works at the intersection of natural language processing, machine learning and healthcare. At Nuance, she primarily works on clinical NLP, information extraction, interpretability of statistical models and knowledge engineering for rule-based expert systems. She has a keen interest in the role of technology in policy, law and ethics. Abstract: Research in computational linguistics is increasingly dominated by supervised machine learning techniques which require annotated data. This needs experts and can be time-consuming or expensive or both. Computational methods to process language have long been dominated by techniques specifically geared towards English and other European languages. English language models are often used as baselines in research, despite the fact that it is an outlier in a lot of linguistic aspects. Despite being often unreported if the results hold up in other languages, the techniques are often considered state-of-the-art for natural language understanding. We will talk about issues dealing with low-resource settings and possible opportunities and challenges. 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

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  • Model-based Reinforcement Learning for Atari

    Needs a location

    We want to invite you to participate in the ODSC Webinar! Model-free reinforcement learning (RL) can be used to learn effective policies for complex tasks, such as Atari games, even from image observations. However, this typically requires very large amounts of interaction - substantially more, in fact, than a human would need to learn the same games. How can people learn so quickly? Part of the answer may be that people can learn how the game works and predict which actions will lead to desirable outcomes. In this webinar we will explore: - How video prediction models can be used to improve the sample efficiency of reinforcement learning? - How to create a model capable of predicting future in Atari games? - How to train the RL agent within “dreams” of another neural network? The webinar will be held by Błażej Osiński, Senior Data Scientist at deepsense.ai. Błażej is a researcher working on reinforcement learning. His professional experience includes working at Google, Google Brain, Microsoft, and Facebook. He was also the first software engineer at the Berlin-based startup Segment of 1. Błażej holds a Masters Degree in Computer Science and Bachelors in Mathematics, both from the University of Warsaw. Date: June 18th Time: 1 pm - 2 pm EST To access this webinar, please register using the link below: https://attendee.gotowebinar.com/register/882743309498928908 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/

  • OmniSci and RAPIDS: An End-to-End Open-Source Data Science Workflow

    We want to invite you to participate in ODSC Webinar! To access this webinar, please register using the link below: https://attendee.gotowebinar.com/register/659622712058581005 Date: May 30th Time: 1 pm - 2 pm EST Speaker: Randy Zwitch Abstract: In this session, attendees will learn how the OmniSci GPU-accelerated SQL engine fits into the overall RAPIDS partner ecosystem for open-source GPU analytics. Using open bike-share data, users will learn how to ingest streaming data from Apache Kafka into OmniSci, perform descriptive statistics and feature engineering using both SQL and cuDF with Python and return the results as a GPU DataFrame. By the end of the session, users should feel comfortable that an entire data science workflow can be accomplished using tools from the RAPIDS eco-system, all without the data ever leaving the GPU. Bio: Randy Zwitch is a Senior Developer Advocate at OmniSci, enabling customers and community users alike to utilize OmniSci to its fullest potential. With broad industry experience in Energy, Digital Analytics, Banking, Telecommunications and Media, Randy brings a wealth of knowledge across verticals as well as in-depth knowledge of open-source tools for analytics. 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/

  • Leveraging GPUs for Data Analytics

    CIC Cambridge

    Speaker: Sathish Thyagarajan, Technology&Business Transformation Leader at OmniSci https://www.linkedin.com/in/sathish-thyagarajan-713620/ Topic: Leveraging GPUs for Data Analytics Schedule: 6:00pm - 6:30pm - ODSC Intro, Pizza & Refreshments 6:30pm - 7:20pm - Talk 7:20pm - 7:30pm - Q&A 7:30pm - 8:00pm - Networking Bio: Sathish is a technical architect & strategy advisor with experience in cloud computing, computational (Big-Data) analytics, product engineering, technical product marketing, pre-sales & business development. Currently, at OmniSci, Sathish is responsible for bringing GPU accelerated computational capabilities and advising enterprises customers in New England through strategic alliances & partnerships. Prior to OmniSci Sathish spent numerous years working for companies like Microsoft, PerkinElmer and Sun Microsystems. Sathish has a Master’s degree in Computer Science from U of Massachusetts and an MBA from Brown University. Abstract: In this talk, Sathish Thyagarajan will demonstrate the use of GPUs for performing fast analytics at extreme speed and scale, including SQL queries, interactive data visualization and integration with typical machine learning workflows that can help data scientists and analysts to rapidly extract fresh insights from Big-Data. Sathish will also explain how GPU’s massive parallelization and memory speed eliminates the need for data downsampling or pre-aggregation and gives users the tools to interactively visualize and explore billions of rows of data in milliseconds. 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

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  • Going spatial: statistical learning for spatial data

    Needs a location

    We want to invite you to participate in ODSC Webinar! To access this webinar, please register using the link below: https://attendee.gotowebinar.com/register/9062661217194636301 Date: May 16th Time: 1 pm - 2 pm EST Speaker: Giulia Carella Abstract: During this webinar, Giulia Carella, Data Scientist at CARTO, will walk you through the best practices to make statistically sound decisions in the field of spatial data science. Giulia will cover the basic of the theory underlying the analysis of spatial data and she will present some of the most common methods and the associated software tools used in this domain, with a focus on the upsurge of big spatial data, for example from GPS sources. Bio: Giulia is a Data Scientist at CARTO. She holds a Ph.D. in Statistical climatology from the University of Southampton (UK) and previously she worked as a researcher at the Le Laboratoire des Sciences du Climat et de l’Environnement (France). 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/california

  • [FREE] Accelerate AI Career Expo - The Largest D.S & AI Expo of 2019

    Registration Required: https://bit.ly/2NA8SuG Whether you are in the market for a job or hiring, the Accelerate AI Career Expo is the place to be! Come listen to experts about the Data Science hiring process, growing your career or developing skills needed for the right position. Check here for the detailed schedule! Saturday, May 4th from 10:30am - 4:00pm representatives from 40+ of the top data science companies will be seeking talented individuals to fill their open positions. Companies will be interviewing on site! Accelerate AI Career Expo will target job seekers from both the tech and business fields. You should consider attending if you’re a developer, marketer, data scientist, software engineer, data engineer, data analyst, business analyst, product manager or in another related field. Register at: https://bit.ly/2NA8SuG Companies that will be hiring: Macy's, Wayfair, Bose, Mass Mutal, Liberty Mutual, Nielson, CVS, Aetna, Stanley Black & Decker, Hired, iRobot, J&J & many more!! Employers that interested in hiring at the Career Expo, please email your inquiries to [masked]. ***This pass only gives you access to Accelerate AI Career Expo 2019 only! This event is free to all ODSC Ticket Holders. If you are interested in participating in the general ODSC East conference please register at https://bit.ly/2Dyol8O to purchase your All Access Conference Pass.