Python Data Science Essentials

Author:   Alberto Boschetti ,  Luca Massaron
Publisher:   Packt Publishing Limited
ISBN:  

9781785280429


Pages:   258
Publication Date:   30 April 2015
Format:   Paperback
Availability:   In stock   Availability explained
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Python Data Science Essentials


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Author:   Alberto Boschetti ,  Luca Massaron
Publisher:   Packt Publishing Limited
Imprint:   Packt Publishing Limited
Dimensions:   Width: 19.10cm , Height: 1.40cm , Length: 23.50cm
Weight:   0.449kg
ISBN:  

9781785280429


ISBN 10:   1785280422
Pages:   258
Publication Date:   30 April 2015
Audience:   General/trade ,  General
Format:   Paperback
Publisher's Status:   Active
Availability:   In stock   Availability explained
We have confirmation that this item is in stock with the supplier. It will be ordered in for you and dispatched immediately.

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Alberto Boschetti is a data scientist with expertise in signal processing and statistics. He holds a PhD in telecommunication engineering and currently lives and works in London. In his work projects, he faces challenges involving natural language processing (NLP), machine learning, and probabilistic graph models everyday. He is very passionate about his job and he always tries to stay updated on the latest developments in data science technologies by attending meetups, conferences, and other events. Luca Massaron is a data scientist and marketing research director who specializes in multivariate statistical analysis, machine learning, and customer insight, with over a decade of experience in solving real-world problems and generating value for stakeholders by applying reasoning, statistics, data mining, and algorithms. From being a pioneer of web audience analysis in Italy to achieving the rank of a top 10 Kaggler, he has always been passionate about everything regarding data and analysis and about demonstrating the potentiality of data-driven knowledge discovery to both experts and nonexperts. Favoring simplicity over unnecessary sophistication, he believes that a lot can be achieved in data science by understanding its essentials.

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