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Video: Five Reasons to Go to Mega-PAW
The Premier Machine Learning Conference
When deciding on a machine learning conference, why go to Mega-PAW Vegas 2019? This five-conference event – June 16-20, 2019 at Caesars Palace – delivers brand-name, cross-industry, vendor-neutral case studies purely on machine learning's commercial deployment, and the hottest topics and techniques.
Watch the video about Mega-PAW Vegas
This June in Vegas, Mega-PAW brings together five different industry-focused events: PAW Business, PAW Financial, PAW Industry 4.0, PAW Healthcare, and Deep Learning World. This is five simultaneous two-day conferences all happening alongside one another at Caesars Palace in Vegas. Plus, a diverse range of full-day training workshops, which take place in the days just before and after.
Why attend Mega-PAW this year?
In this episode of the Dr. Data Show, PAW Founder Eric Siegel spills on the details and lists five reasons PAW is the most valuable machine learning event to attend this year:
Read the full article or watch the video.
View the entire five-conference, seven-track mega-agenda at once
Visit our website to see more details, register, and sign up for informative event updates by email.
About the Dr. Data Show. This new web series breaks the mold for data science infotainment, captivating the planet with short webisodes that cover the very best of machine learning and predictive analytics. Click here to view more episodes and to sign up for future episodes of The Dr. Data Show.
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Eric Siegel, Ph.D., founder of the Predictive Analytics World and Deep Learning World conference series and executive editor of The Predictive Analytics Times, makes the how and why of predictive analytics (aka machine learning) understandable and captivating. He is the author of the award-winning Predictive Analytics: The Power to Predict Who Will Click, Buy, Lie, or Die, the host of The Dr. Data Show web series, a former Columbia University professor, and a renowned speaker, educator, and leader in the field. Read also his articles on data and social justice and follow him at @predictanalytic.
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