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    R: Recipes for Analysis, Visualization and Machine Learning. Click here to enter text Shanthi Viswanathan, Atmajitsinh Gohil, Viswa Viswanathan, Yu-Wei, Chiu (David Chiu)

    (ebook) (audiobook) (audiobook) Książka w języku 1
    R: Recipes for Analysis, Visualization and Machine Learning. Click here to enter text Shanthi Viswanathan, Atmajitsinh Gohil, Viswa Viswanathan, Yu-Wei, Chiu (David Chiu) - okladka książki

    R: Recipes for Analysis, Visualization and Machine Learning. Click here to enter text Shanthi Viswanathan, Atmajitsinh Gohil, Viswa Viswanathan, Yu-Wei, Chiu (David Chiu) - okladka książki

    R: Recipes for Analysis, Visualization and Machine Learning. Click here to enter text Shanthi Viswanathan, Atmajitsinh Gohil, Viswa Viswanathan, Yu-Wei, Chiu (David Chiu) - audiobook MP3

    R: Recipes for Analysis, Visualization and Machine Learning. Click here to enter text Shanthi Viswanathan, Atmajitsinh Gohil, Viswa Viswanathan, Yu-Wei, Chiu (David Chiu) - audiobook CD

    Autorzy:
    Shanthi Viswanathan, Atmajitsinh Gohil, Viswa Viswanathan, Yu-Wei, Chiu (David Chiu)
    Wydawnictwo:
    Packt Publishing (Z chęcią przeczytam książkę w języku polskim)
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    Bądź pierwszym, który oceni tę książkę
    Dostępne formaty:
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    The R language is a powerful, open source, functional programming language. At its core, R is a statistical programming language that provides impressive tools to analyze data and create high-level graphics. This Learning Path is chock-full of recipes. Literally! It aims to excite you with awesome projects focused on analysis, visualization, and machine learning. We’ll start off with data analysis – this will show you ways to use R to generate professional analysis reports. We’ll then move on to visualizing our data – this provides you with all the guidance needed to get comfortable with data visualization with R. Finally, we’ll move into the world of machine learning – this introduces you to data classification, regression, clustering, association rule mining, and dimension reduction.

    This Learning Path combines some of the best that Packt has to offer in one complete, curated package. It includes content from the following Packt products:
    • R Data Analysis Cookbook by Viswa Viswanathan and Shanthi Viswanathan
    • R Data Visualization Cookbook by Atmajitsinh Gohil
    • Machine Learning with R Cookbook by Yu-Wei, Chiu (David Chiu)

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    O autorach książki

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    Viswa Viswanathan is an associate professor of Computing and Decision Sciences at the Stillman School of Business in Seton Hall University. After completing his PhD in Artificial Intelligence, Viswa spent a decade in academia and then switched to a leadership position in the software industry for another decade during which he worked for Infosys, Igate, and Starbase. He embraced academia once again in 2001.
    Viswa has taught extensively in fields ranging from operations research, computer science, software engineering, management information systems, and enterprise systems. In addition to university teaching, Viswa has conducted training programs for industry professionals and has written several peer-reviewed research publications in journals such as Operations Research, IEEE Software, Computers and Industrial Engineering, and International Journal of Artificial Intelligence in Education. He has authored a book titled Data Analytics with R:A hands-on approach.
    Viswa thoroughly enjoys hands-on software development and has single-handedly conceived, architected, developed, and deployed several web-based applications.
    Apart from his deep interest in technical fields such as data analytics, artificial intelligence, computer science, and software engineering, Viswa harbors a deep interest in education with special emphasis on the roots of learning and methods to foster deeper learning. He has done research in this area and hopes to pursue the subject further.
    Viswa would like to express deep gratitude to professors Amitava Bagchi and Anup Sen, who were inspirational forces during his early research career. He is also grateful to several extremely intelligent colleagues, notable among them being Rajesh Venkatesh, Dan Richner, and Sriram Bala, who significantly shaped his thinking. His aunt, Analdavalli; his sister, Sankari; and his wife, Shanthi, taught him much about hard work, and even the little he has absorbed has helped him immensely. His sons, Nitin and Siddarth, have helped with numerous insightful comments on various topics.

    Shanthi Viswanathan, Atmajitsinh Gohil, Viswa Viswanathan, Yu-Wei, Chiu (David Chiu) - pozostałe książki

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