June 27, 2019 at 14:28Mitap for Data Science
On Friday, June 28, we invite those who are interested in Data Science to a meeting in the Gazprom Neft Lecture Hall in St. Petersburg. You will hear reports, as well as be able to declare your topic for the next meeting. Register for a meeting and invite colleagues!
Reports:
18:15 - 19:00 - Mark Panenko “Searching for information in documents. How NLP helps lawyers ”
Mark will talk about the use of machine learning in a modern law firm, about the types of tasks to be solved and the architectures of the models used. It will show how the document processing service deployed on a test server works. He will share his experience 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 Filimokhina, student of SPbPU. Alexandra has an internship at Gazpromneft, she will talk about the task of recognizing the sex of the company's customers according to CRM devices that record the interaction of the client with the cashier . At the same time, why the problem arose, how audio recordings are processed, what is “The Cocktail Party Problem”, and also will go through the main stages of solving the problem.
19:30 - 20:00 - “Analysis of the effectiveness of promotions”, Alexander Mugayskih, a leading specialist of the Competence Center for Advanced Analytics.
A review message on how to evaluate and predict the effect of advertising campaigns conducted by the company. What factors are taken into account when creating a sales model? Why do I need to plan a promotion automatically? How do marketing effects affect sales? Answers to these and other questions will be examined during the report.
→ Registration, details about the address under the link
Previous mitap for Data science
Reports:
18:15 - 19:00 - Mark Panenko “Searching for information in documents. How NLP helps lawyers ”
Mark will talk about the use of machine learning in a modern law firm, about the types of tasks to be solved and the architectures of the models used. It will show how the document processing service deployed on a test server works. He will share his experience 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 Filimokhina, student of SPbPU. Alexandra has an internship at Gazpromneft, she will talk about the task of recognizing the sex of the company's customers according to CRM devices that record the interaction of the client with the cashier . At the same time, why the problem arose, how audio recordings are processed, what is “The Cocktail Party Problem”, and also will go through the main stages of solving the problem.
19:30 - 20:00 - “Analysis of the effectiveness of promotions”, Alexander Mugayskih, a leading specialist of the Competence Center for Advanced Analytics.
A review message on how to evaluate and predict the effect of advertising campaigns conducted by the company. What factors are taken into account when creating a sales model? Why do I need to plan a promotion automatically? How do marketing effects affect sales? Answers to these and other questions will be examined during the report.
→ Registration, details about the address under the link
Previous mitap for Data science