Next Meetup

WiMLDS Montreal #1: Launch Edition & NIPS Conference Special
We’re excited to announce the first edition of the WiMLDS Montreal meetups! The event will coincide with the Conference on Neural Information Processing Systems (NIPS), AI’s most prominent conference and which is taking place in Montreal this year. Whether you're a data professional or simply curious, you are welcome regardless of your technical level or your gender. The talks will be entirely in English, as we expect international participants for this special edition. ========= Agenda ========= 6:00 pm—Doors open 6:30 pm—Talks 8:00 pm—Networking cocktail ========= Speakers ========= Rachel Thomas, Co-founder of fast.ai & Professor at USF | What Scares Me About AI Rachel Thomas was selected by Forbes as one of "20 Incredible Women in AI", earned her math PhD at Duke, and was an early engineer at Uber. She is a professor at the University of San Francisco and co-founder of fast.ai, which created the “Practical Deep Learning for Coders” course that over 200,000 students have taken. Rachel is a popular writer and keynote speaker. Her writing has been read by nearly a million people; has been translated into Chinese, Spanish, Korean, & Portuguese; and has made the front page of Hacker News 9x. www.twitter.com/math_rachel www.fast.ai/about/#rachel Luba Eliott, Creative AI Consultant | Artistic Applications of AI Luba Elliott is a curator, artist and researcher specializing in artificial intelligence in the creative industries. She is currently working to educate and engage the broader public about the latest developments in creative AI through monthly meetups in London (UK), talks and tech demonstrations. This year, she is curating Impakt Festival in October, themed on post-truth and AI. As a curator, she organized workshops and exhibitions on art and AI for The Photographers’ Gallery, the Leverhulme Centre for the Future of Intelligence and Google. Luba is also one of the organizers of the NIPS workshop on Machine Learning for Creativity and Design. www.twitter.com/elluba www.elluba.com Kathleen Siminyu, Head of Data Science at Africa's Talking | Building Analytics and Data Science at A Start-Up Kathleen Siminyu is Head of Data Science at Africa’s Talking and Team Lead at WiMLDS Nairobi in Kenya. Kathleen was a speaker at major events including the AI for Good Global Summit in Geneva, Switzerland and the Global Symposium on AI & Inclusion in Rio de Janeiro, Brazil. She gave talks on topics such as improving the representation of African women in machine learning and AI, advancing equality in the global south and why women’s voices are needed to ensure that the benefits of automation and AI are shared by all. She will be in Montreal to talk about the role of civil society in the age of AI at the NIPS workshop on AI for Social Good. www.twitter.com/siminyu_kat www.kathleensiminyu.com Speaker 4 | To be announced ========= More details will be shared on this page and on our social accounts in the upcoming days. Twitter: www.twitter.com/WiMLDS_Montreal Facebook: www.facebook.com/wimlds.mtl LinkedIn: www.linkedin.com/company/wimlds-mtl

Shopify

490, rue De La Gauchetière Ouest · Montréal, qc

    What we're about

    [EN] WiMLDS Montreal’s events cover topics related to machine learning and data science, in a multidisciplinary and inclusive way. Our speakers can talk about the technical, ethical, social, legal, creative or business aspects of these fields.

    We believe that the development of machine learning and data science should be driven by people whose diversity reflects that of society. We highlight women's expertise to promote and support greater gender diversity in these areas.

    Everyone is welcome to our events, regardless of your gender identity or technical background. Allies, we want to see you among us!

    ===

    [FR ] Les événements du WiMLDS Montreal abordent des sujets liés à l’apprentissage machine et aux sciences des données, de manière multidisciplinaire et inclusive. Nos invitées peuvent entre autres toucher aux aspects techniques, éthiques, sociaux, légaux, créatifs ou d’affaires de ces disciplines.

    Nous croyons que le développement de l'apprentissage automatique et des sciences des données devrait être mené par des personnes dont la diversité reflète celle de la société. Nous mettons de l’avant l’expertise des femmes pour favoriser et promouvoir une plus grande diversité de genre dans ces domaines.

    Tout le monde est bienvenu à nos événements, quelle que soit votre identité de genre ou votre formation technique. Alliés, nous voulons vous voir parmi nous!

    ===

    Our code of conduct / Notre code de conduite :
    https://github.com/WiMLDS/starter-kit/wiki/Code-of-conduct

    Marina Pavlovic Rivas, Ghizlene Zerguini, Fanny Riols

    Members (177)

    Photos (3)