Name: Data Science for Business Sector Meetup
Start: 2019-09-26T18:30:00+06:00
End: 2019-09-26T20:30:00+06:00

We welcome you to participate in Data Science for Business Sector Meetup here in Bishkek! The event is part of Data Science Month Program organized by High Tech Park of the Kyrgyz Republic.

Data Science for Business Sector Public Meetup:
In this meetup, you will hear a presentation that provides broad awareness and understanding of Data Science, Machine Learning, and AI. This talk will discuss the uses, misuses, possibilities, and limitations of Data Science, Machine Learning, and AI to a business audience.
Emphasis will be placed on business applications and potential value. I'll discuss applications of machine learning in retail, technology, medicine, and other industries.

Our special invited guest speaker from USA - Alex Gutman, Fulbright Specialist

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.

Registration is mandatory - https://forms.gle/FzN5SPfFBAswGf5m8

Date: 26th of September
Address: OlolohausErkindik ул. Эркиндик, 64Б https://go.2gis.com/ozwtt
Time: 18:30-20:00

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