Machine Learning

We'd like to welcome you to join us in celebrating the top achievements in AI/ML from the perspective of research and applications and business strategy, across all industries. ( Each ticket includes: -Access 80+ hours of live-streamed content (incl. recordings)-Talks for beginners/intermediate & advanced-Network and connect through our event app-Q+A with speakers-Channels to share your […]

Let's network and learn how to provide data that resonates with the C-Suite. Our guest speaker is Gunjan Syal. Gunjan enables high ROI innovation and transformational initiatives using strategy, governance and planning. She has led innovation initiatives for 26+ US & Canadian businesses in 9 industries. Each time, the goal has been to accelerate strategic […]

Based on the Committee's recommendations of topics, this 4-day event is designed to help you tackle machine learning deployment, learning from best practices and insights. We'll provide workshops and learning to from leaders at Netflix, LinkedIn, Intuit, Yelp, Shopify, Pinterest, and more. Tickets are 44$-64$ for all access, and include access to all workshops (20+) […]

Speaker: Moez Ali, Founder and Author of PyCaret Abstract: PyCaret is an open-source, low-code machine learning library in Python that allows you to go from preparing your data to deploying your model within minutes in your choice of environment. This talk is a practical demo using PyCaret in your existing workflows and supercharges your data […]

Speakers: Trey Morrow & Dwayne Dreakford, Solutions Engineer at Algorithmia Bio: Trey has over 20 years of experience in Data Analytics & Data Science practice leadership, sales, and delivery. Primarily focusing on implementations of analysis, design, development, enhancements & testing of applications. His experience spans disparate verticals, including finance, oil & gas, medical, pharmaceutical, sports, […]

Speakers: Intro/Facilitator: Shingai Manjengwa - Director, Technical Education, Vector Institute and Founder, Fireside Analytics Inc. Rishav Agarwal: Machine Learning Engineer, Akasha Imaging Abstract: A hands-on guide to auditing, investigating, and mitigating bias in your AI models. Industry case studies from companies that went through this process, hear from the program director, and learn from some […]