Machine Learning Week 2022 — the facts:
Machine Learning Week is our largest event to date, with seven tracks of sessions covering the commercial deployment of machine learning. Register to attend one or more of MLW’s six co-located conferences: PAW Business, PAW Financial, PAW Healthcare, PAW Industry 4.0, PAW Climate and Deep Learning World.
Machine Learning Week 2022 Keynotes
Cross-register for up to Six Conferences at Machine Learning Week
Predictive Analytics World for Business focuses on concrete examples of deployed predictive analytics. Hear from the horse’s mouth precisely how Fortune 500 analytics competitors and other top practitioners deploy machine learning, and the kind of business results they achieve.
The PAW Healthcare program will feature sessions and case studies across Healthcare Business Operations and Clinical applications so you can witness how data science and machine learning are employed at leading enterprises, resulting in improved outcomes, lower costs, and higher patient satisfaction.
Predictive Analytics World for Industry 4.0 is the leading vendor-neutral conference for machine learning for smart manufacturing and IoT. Data scientists, industrial planners, and other machine learning experts will meet in Las Vegas on June 16-20, 2019 to explore the latest trends and technologies in machine & deep learning for the IoT era.
Machine learning can be an important component in tech for addressing the climate crisis. Join PAW Climate to explore how companies apply machine learning to problems such as smart electrical grids, supply chain optimization, building energy efficiency, industrial control, precision agriculture, climate risk assessment, weather forecasting, ecosystem monitoring, and disaster response.
Deep Learning World is the premier conference covering the commercial deployment of deep learning. The event’s mission is to foster breakthroughs in the value-driven operationalization of established deep learning methods. DLW covers a wide range of deep learning application areas: autonomous vehicles, computer vision, speech recognition, manufacturing, fake news detection, document classification, insurance underwriting, economic forecasting, language generation, sensitive content detection, fraud protection, network security and automated marketing.