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Bücher Englische Bücher Wissen & Bildung Naturwissenschaft, Medizin, Informatik, Technik Informatik & EDV Informatik Practical Business Analytics Using R and Python
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Practical Business Analytics Using R and Python
Umesh R. Hodeghatta, Umesha Nayak (Broschiert, Englisch)
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Beschreibung
This book illustrates how data can be useful in solving business problems. It explores various analytics techniques for using data to discover hidden patterns and relationships, predict future outcomes, optimize efficiency and improve the performance of organizations. You’ll learn how to analyze data by applying concepts of statistics, probability theory, and linear algebra. In this new edition,… both R and Python are used to demonstrate these analyses. Practical Business Analytics Using R and Python also features new chapters covering databases, SQL, Neural networks, Text Analytics, and Natural Language Processing. Part one begins with an introduction to analytics, the foundations required to perform data analytics, and explains different analytics terms and concepts such as databases and SQL, basic statistics, probability theory, and data exploration. Part two introduces predictive models using statistical machine learning and discusses concepts like regression, classification, and neural networks. Part three covers two of the most popular unsupervised learning techniques, clustering and association mining, as well as text mining and natural language processing (NLP). The book concludes with an overview of big data analytics, R and Python essentials for analytics including libraries such as pandas and NumPy. Upon completing this book, you will understand how to improve business outcomes by leveraging R and Python for data analytics. What You Will Learn Master the mathematical foundations required for business analytics Understand various analytics models and data mining techniques such as regression, supervised machine learning algorithms for modeling, unsupervised modeling techniques, and how to choose the correct algorithm for analysis in any given task Use R and Python to develop descriptive models, predictive models, and optimize models Interpret and recommend actions based on analytical model outcomes Who This Book Is For Software professionals and developers, managers, and executives who want to understand and learn the fundamentals of analytics using R and Python. 64,19 €
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Technische Daten
Erscheinungsdatum
04.04.2023
Sprache
Englisch
EAN
9781484287538
Herausgeber
APRESS
Sonderedition
Nein
Autor
Umesh R. Hodeghatta, Umesha Nayak
Seitenanzahl
706
Auflage
2
Einbandart
Broschiert
Buch Untertitel
Solve Business Problems Using a Data-driven Approach
Schlagwörter
Business Analytics, R, Python, Descriptive Analytics, Predictive Analytics, Data Mining, LInear Regression, Logistic Regression, Database, SQL, Datawarehouse, Evaluating Analytics, Time Series Forecasting, Neural Networks
Thema-Inhalt
UN - Datenbanken
UMX - Programmier- und Skriptsprachen, allgemein
UYQM - Maschinelles Lernen
UYQ - Künstliche Intelligenz
Höhe
254 mm
Breite
17.8 cm
Transparenz & Sicherheit
Hersteller: Apress, Europaplatz 3, Heidelberg, Deutschland, 69115, ProductSafety@springernature.com, Springer Nature Customer Service Center GmbH
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