Machine Learning Week 2025
Machine Learning Week returns to Phoenix, Arizona from June 2 to 5, 2025, bringing together machine learning practitioners, data scientists, analytics professionals, and industry leaders for four days of in depth learning and networking. This comprehensive event will take place at the Sheraton Phoenix Downtown Hotel, offering a blend of conference sessions and specialized workshops.
Event Schedule
- June 2, 2025: Workshop Day
- June 3 to 4, 2025: Main Conference
- June 5, 2025: Workshop Day
Conference Overview
Machine Learning Week 2025 provides a unique opportunity to learn from renowned experts in the field, explore practical applications of machine learning and artificial intelligence, and connect with peers facing similar challenges. The event combines theoretical knowledge with hands on experience, ensuring attendees gain actionable insights they can apply immediately in their organizations.
The program is designed to address the needs of practitioners at all levels, from those just beginning their machine learning journey to seasoned professionals looking to stay at the cutting edge of the field.
Workshop Offerings
The event features comprehensive workshops at the beginning and end of the week:
Monday, June 2, 2025
- Deep Learning in Practice: A Hands On Introduction Using PyTorch with James McCaffrey
- Machine Learning Operationalized: How BizML and Decision Modeling Get ML Deployed with James Taylor
- The Best of Predictive Analytics: Core Machine Learning and Data Science Techniques with Dr. John Elder
Thursday, June 5, 2025
- Automating Building of Predictive Models: Predictive AI + Generative AI with Dean Abbott
Additionally, an on demand online workshop Machine Learning Leadership and Practice: End to End Mastery with Eric Siegel is available for those seeking flexible learning options.
Venue
The Sheraton Phoenix Downtown Hotel, located in the heart of Phoenix, Arizona, provides an ideal setting for learning and networking. The venue offers state of the art conference facilities and convenient access to downtown amenities.
Who Should Attend
Machine Learning Week 2025 is valuable for a diverse audience including:
- Data scientists and machine learning engineers
- Analytics professionals and statisticians
- AI practitioners and researchers
- Business intelligence specialists
- Technology executives and managers
- Analytics team leaders
- Anyone seeking to leverage machine learning for business impact
Speakers Include:
- Dr. Eric Siegel, Conference Founder
- Dr. John Elder, Founder & Chair, Elder Research
- Dean Abbott, Chief Data Scientist
- James McCaffrey, Senior Scientist Engineer
- James Taylor, Executive Partner
- Dr. Karl Rexer, President, Rexer Analytics
- Dr. David Perkins, CAP®, PMP®, Professor of Business Analytics, Grand Canyon University
- Amy Neftzger, Senior Director, Advanced Analytics
- Andreas Welsch, Founder & Chief AI Strategist
- Bas Geerdink, Tech Lead
- Bipin Chadha, VP Data Science
- Michael Griebe, Chief Data Officer
- Rohit Agarwal, Chief Data Officer
- Steven Hintze, Chief Data and Product Officer
- Sravanthi Aluvala, Director, Product Management Tech | Data Science & ML Engineering
- Karl Weinmeister, Head of Product Developer Relations, Google Cloud
Machine Learning Week 2025 represents an essential opportunity for professionals to deepen their machine learning expertise, discover emerging techniques and technologies, and connect with leaders in the field. Whether focusing on predictive analytics, deep learning, model deployment, or AI strategy, this event offers valuable content for anyone involved in the rapidly evolving world of machine learning and artificial intelligence.