TSPC Events

Guest lecture by Alex Gutman for AUCA community "Demystifying Data Science and Machine Learning"

You’ve heard the terms: Deep Learning, Artificial Intelligence (AI), Data Science, Machine Learning, Predictive Analytics

You’ve heard the hype: Machine Learning and AI will take over the world!

Now hear the truth. 

 "Demystifying Data Science and Machine Learning"

Join us for this presentation to learn about the uses, misuses, possibilities, and limitations of data science. You'll walk away with a clearer understanding of what's possible with these technologies and the challenges you'll face. Most important, you'll learn how to spot opportunities to use data science in your work. References to learn more will also be provided.

Who is the speaker? 

Alex Gutman, PhD, is a Data Scientist, Corporate Trainer, and Accredited Professional Statistician® with expertise in statistical & machine learning and experience working as a Data Scientist for two Fortune 50 companies. At Procter & Gamble, Alex supported the Data Science and Artificial Intelligence (AI) team where he taught courses on open-source software and machine learning. He also implemented several machine learning and Natural Language Processing (NLP) techniques to improve the safety of P&G products. In his current role at 84.51° - a data science company owned by Kroger - Alex enables, empowers, and encourages other data scientists to use machine learning by developing & delivering training on open-source & state-of-the-art proprietary AI tools and by consulting on supervised, unsupervised, NLP, & time-series projects. He’s especially interested in communicating the uses, misuses, possibilities, and limitations of AI and machine learning to non-technical business partners and executives.  He received his BS and MS in Mathematics from Wright State University and his PhD in Applied Mathematics from the Air Force Institute of Technology (AFIT) at Wright-Patterson Air Force Base in Ohio. He’s a member of the American Statistical Association and serves as an Adjunct Professor in the Department of Operational Sciences at AFIT.

We invite you to visit the meeting on September 23 at 14:30, room G24.

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Questions? Write to sfw@auca.kg

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