| 書(shū)目名稱(chēng) | Practical Business Analytics Using R and Python | | 副標(biāo)題 | Solve Business Probl | | 編輯 | Umesh R. Hodeghatta,Umesha Nayak | | 視頻video | http://file.papertrans.cn/753/752884/752884.mp4 | | 概述 | Explains the theory, tools, and techniques of business analytics with case studies that are easy to understand.It covers unsupervised learning techniques, text mining, and natural language processing. | | 圖書(shū)封面 |  | | 描述 | .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 | | 出版日期 | Book 2023Latest edition | | 關(guān)鍵詞 | Business Analytics; R; Python; Descriptive Analytics; Predictive Analytics; Data Mining; LInear Regression | | 版次 | 2 | | doi | https://doi.org/10.1007/978-1-4842-8754-5 | | isbn_softcover | 978-1-4842-8753-8 | | isbn_ebook | 978-1-4842-8754-5 | | copyright | Umesh R. Hodeghatta, Ph.D and Umesha Nayak 2023 |
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