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.
I would like to thank the Python community for all their help, and for building such incredible packages for text analysis. I would also like to thank Lev Konstantinovskiy for introducing me to the world of open source scientific computing and Dr. Benjamin Guedj for always helping me with writing technical articles and material. I would also like to thank my parents, brother and friends for their constant support throughout the process of writing the book.
Brian Sacash is a data scientist and Python developer in the Washington, DC area. He helps various organizations discover the best ways to extract value from data. His interests are in the areas of Natural Language Processing, Machine Learning, Big Data, and Statistical Methods. Brian holds a Master of Science in Quantitative Analysis from the University of Cincinnati and a Bachelor of Science in Physics from the Ohio Northern University.
Reddy Anil Kumar is a data scientist working at Imaginea technologies Inc. He has over 4 years of experience in the field of data science which includes 2 years of freelance experience. He is experienced in implementing Artificial Intelligence solutions in various domains using Machine Learning / Deep Learning, Natural Language Processing, and Big Data Analytics. In his free time, he loves to participate in data science competitions and he is also a Kaggle expert.
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