Meet the Lecturers of the Machine Learning School for Business Schools!

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The first international school on teaching and learning Machine Learning in Business Schools is here! On February 17, 2021, we will hold a one-day virtual and free event focused on how Machine Learning is taught at Business Schools.

All lectures will be lead by the professors that are changing the business landscape by teaching Machine Learning to the new generation that will automate their businesses. In addition to the basic concepts of Machine Learning, this school will also cover how professors are bringing Machine Learning into the classrooms and how current and future business leaders can use it to optimize their business processes.

Meet below the distinguished lecturers for the #BigMLSchool whom you will get a chance to interact with LIVE!

Introduction to Machine Learning

“Introduction to Machine Learning: ML platforms and AutoML in the Enterprise” by Ed Fernández, Board Director at Arowana and Faculty at Northeastern University (The United States of America).

“Machine Learning: Horizontal or Vertical?” by Enrique Dans, Ph.D., Senior Advisor for Innovation and Digital Transformation at IE University (Spain).

Machine Learning Use Cases

“Tourists Nationality Prediction: Helping the Hotel Sector Better Plan Ahead” by Andrés González, CTO & Cofounder at CleverData.io and Associate Professor at EOI Business School (Spain).

“Fraud Detection: Automating KYC” by Jan W. Veldsink, Master in the Art of AI at NyenrodeRabobank, and Grio (The Netherlands).

“Customer Segmentation: Understanding Your Customers to Better Develop Personalized Relationships” by Arturo Moreno, Associate Professor at ICADE Business School (Spain).

“Text Analysis: Discovering Insights for the Healthcare Industry and the Czech Business Landscape” by Lucie Beranová, Ph.D. Student at Prague University of Economics and Business (VSE) and Data Scientist at Vodafone and Tomáš Kliegr, Ph.D., Associate Professor at VSE (Czech Republic).

“Dealing with Text: How to Automatically Summarize Academic Literature” by Nigel L. Williams, Ph.D., Reader in Project Management at the University of Portsmouth (The United Kingdom).

“10 Lessons Business Students Need to Know” by Marc Torrens, Ph.D., Academic Director of the M.Sc. in Business Analytics and Associate Professor at ESADE Business School (Spain).

“Teaching Machine Learning in Business Schools”
Panel with all lecturers.

Q&A with the Professors
Links to join the virtual rooms will be provided shortly to those who register for the event.

Machine Learning in Action

“Situational Ethics: Trustworthy AI” by Jan W. Veldsink, Master in the Art of AI at NyenrodeRabobank, and Grio (The Netherlands).

“My First End-to-End Machine Learning Project” by Mercè Martín Prats, Ph.D., VP of Insights and Applications at BigML (Spain).

Registration

Check the full agenda for more details and register for free to save your spot!

Organizers

 

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