[PyData] Recognizing products from raw text descriptions using “shallow” and “deep” machine learning

PyData Warsaw 2018 Recognizing products from raw text descriptions using “shallow” and “deep” machine learning - We will compare “shallow” and “deep” machine learning approaches to solving a natural language processing problem. Pros, cons and consequences of both choices will be discussed. === www.pydata.org PyData is an educational program of NumFOCUS, a 501(c)3 non-profit organization in the United States. PyData provides a forum for the international community of users and developers of data analysis tools to share ideas and learn from each other. The global PyData network promotes discussion of best practices, new approaches, and emerging technologies for data management, processing, analytics, and visualization. PyData communities approach data science using many languages, including (but not limited to) Python, Julia, and R. PyData conferences aim to be accessible and community-driven, with novice to advanced level presentations. PyData tutorials and talks bring attendees the latest project features along with cutting-edge use cases.