Mitap for Data Science
On Friday, June 28, we invite those interested in the topic of Data Science to a meeting at the lecture hall of Gazprom Neft in St. Petersburg. You will hear the reports, as well as be able to speak with your topic on the next mitap. Register for a meeting and invite colleagues!
Reports:
18:15 - 19:00 - Mark Panenko “Search for information in documents. How NLP helps lawyers
Mark will talk about the use of machine learning in a modern law firm, the types of tasks to be solved and the architectures of the models used. Shows how the document processing service deployed on the test server works. Share experiences of successful decisions and failures on the way - from the idea to the implementation of the machine learning project for NLP tasks.
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19:00 - 19:30 - “Recognizing the client’s gender by his voice”, Alexandra Filimohina, student at SPbPU. Alexandra is interning at Gazprom Neft, she will tell about the task of recognizing the gender of the company’s clients according to CRM devices that record customer interaction with the cashier . At the same time about why the problem arose, how audio recordings are processed, what the “The Cocktail Party Problem” is, and also go through the main stages of solving the problem.
19:30 - 20:00 - “Analysis of the effectiveness of promotions”, Alexander Mugaysky, leading specialist of the Center for Competences on Advanced Analytics.
Overview report on how to evaluate and predict the effect of advertising campaigns conducted by the company. What factors are taken into account when drawing up a sales model? Why do you need to plan promotions automatically? How do marketing effects affect sales? Answers to these and other questions will be analyzed during the report.
→ Registration, address details by reference
Previous metap for Data science
Reports:
18:15 - 19:00 - Mark Panenko “Search for information in documents. How NLP helps lawyers
Mark will talk about the use of machine learning in a modern law firm, the types of tasks to be solved and the architectures of the models used. Shows how the document processing service deployed on the test server works. Share experiences of successful decisions and failures on the way - from the idea to the implementation of the machine learning project for NLP tasks.
')
19:00 - 19:30 - “Recognizing the client’s gender by his voice”, Alexandra Filimohina, student at SPbPU. Alexandra is interning at Gazprom Neft, she will tell about the task of recognizing the gender of the company’s clients according to CRM devices that record customer interaction with the cashier . At the same time about why the problem arose, how audio recordings are processed, what the “The Cocktail Party Problem” is, and also go through the main stages of solving the problem.
19:30 - 20:00 - “Analysis of the effectiveness of promotions”, Alexander Mugaysky, leading specialist of the Center for Competences on Advanced Analytics.
Overview report on how to evaluate and predict the effect of advertising campaigns conducted by the company. What factors are taken into account when drawing up a sales model? Why do you need to plan promotions automatically? How do marketing effects affect sales? Answers to these and other questions will be analyzed during the report.
→ Registration, address details by reference
Previous metap for Data science
Source: https://habr.com/ru/post/457902/
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