June 2018
Beginner to intermediate
306 pages
7h 42m
English
Bhargav Srinivasa-Desikan is a research engineer working for INRIA in Lille, France. He is part of the MODAL (Models of Data Analysis and Learning) team, and he works on metric learning, predictor aggregation, and data visualization. He is a regular contributor to the Python open source community, and he completed Google Summer of Code in 2016 with Gensim where he implemented Dynamic Topic Models. Bhargav is a regular speaker at PyCons and PyDatas across Europe and Asia, and conducts tutorials on text analysis using Python. He is the maintainer of the Python machine learning package pycobra, and has published in the Journal of Machine Learning Research.
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