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Upcoming events (5)
Kaggle Days Meetup in Boston #1 Speaker: Raymond Grossman, Machine Learning Engineer at Kensho Technologies https://www.linkedin.com/in/raymond-grossman-bb4664114/ Topic: SK-Burn: Tips for new data scientists Schedule: 6:00pm - 6:30pm - ODSC and LogicAI Intro, Pizza & Refreshments 6:30pm - 7:20pm - Talk 7:20pm - 7:30pm - Q&A 7:30pm - 8:00pm - Networking Bio: Raymond Grossman has been an avid machine and deep learning practitioner since graduating from Princeton Mathematics in 2016. He specializes in natural language processing and speech at Kensho Technologies under S&P Global, where he works as an ML Engineer. He also is an accomplished Kaggler, recently achieving overall rank 14 out of over 100,000 competitors globally under the moniker "To Train Them Is My Cause". His work on Kaggle includes winning Google's Toxic Comment Classification Challenge (1st/4551). Outside of work, Raymond enjoys playing the violin and bouldering. Abstract: Information about how different SOTA models or technologies work is readily available, but information on how to apply those models quickly and effectively is hard to come by. Covering everything from modeling tips and tricks to engineering pipelines and workflows, this talk attempts to bridge that information gap by using SK-learn to demonstrate the impact of engineering decisions on modeling pipelines. 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
Speaker: Mehrnoosh Sameki, Technical Program Manager at Microsoft https://www.linkedin.com/in/mehrnoosh-sameki-a2a02245/ Topic: An overview of machine learning interpretability 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: Mehrnoosh Sameki is a technical program manager at Microsoft responsible for leading the product efforts on machine learning interpretability and fairness within the Azure Machine Learning platform. Previously, she was a data scientist at Rue Gilt Groupe, incorporating data science and machine learning in retail space to drive revenue and enhance personalized shopping experiences of customers. She earned her Ph.D. degree in computer science at Boston University. Abstract: With the recent popularity of machine learning algorithms such as neural networks and ensemble methods, etc., machine learning models become more like a ‘black box’, harder to understand and interpret. To gain the user’s trust, there is a strong need to develop tools and methodologies to help the user to understand and explain how predictions are made. Data scientists also need to have the necessary insights to learn how the model can be improved. Much research has gone into model interpretability and recently several open sources tools, including LIME, SHAP, and GAMs, etc., have been published on GitHub. In this talk, we present popular state-of-the-art interpretability algorithms and introduce a Machine Learning Interpretability toolkit which incorporates the cutting-edge technologies in the domain of AI transparency. Using this toolkit, data scientists can explain machine learning models using state-of-art technologies in an easy-to-use and scalable fashion. 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
Are you ready to learn new skills, connect to the data science community and accelerate your career? Learn the fundamentals and prep for immersive ODSC Trainings. Then get hands-on with in-demand data science tools and frameworks while building your network to grow your career! Register now: https://www.eventbrite.com/e/odsc-west-mini-bootcamp-2019-tickets-65577424843?aff=ebdssbeac Register with code Meetup19 to save 40% on your passes!
Participate in a full day of career exploration sessions, and discover the skills needed to start or accelerate your data science career. Meet hiring managers at the largest Data Science Career Lab at ODSC-West 2019! Register at http://bit.ly/2Hg0kXO Please note that registration is required prior to the event for attendance. Begin or accelerate your data science career by participating in our first-ever career LAB sessions led by established data science professionals helping you fit your dream job. In addition, explore a full day expo hall among hiring representatives from top tech companies. Whether you are in the market for a job or hiring, professionals can all seek new pathways in data science, machine learning, project management, data engineering and more. Come listen to experts about the Data Science hiring process, growing your career and develop the skills needed for the right position. Detailed Schedule to be posted soon here. Monday, October 28th from 10:30 am - 6:00 pm representatives from 30+ 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. In addition to the exhibition hall, ODSC will have a Resume Review Session that will run all day throughout exhibition hours. Talented and qualified leaders will be present to review your resumes on the spot. 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!