Название: Machine Learning for Business Analytics: Concepts, Techniques and Applications in RapidMinerАвтор: Galit Shmueli, Peter C. Bruce
Издательство: Wiley
Год: 2023
Страниц: 701
Язык: английский
Формат: pdf
Размер: 37.6 MB
Machine Learning - also known as data mining or data analytics - is a fundamental part of Data Science. It is used by organizations in a wide variety of arenas to turn raw data into actionable information. Machine Learning for Business Analytics: Concepts, Techniques and Applications in RapidMiner provides a comprehensive introduction and an overview of this methodology. This best-selling textbook covers both statistical and machine learning algorithms for prediction, classification, visualization, dimension reduction, rule mining, recommendations, clustering, text mining, experimentation and network analytics. This is the seventh edition of Machine Learning for Business Analytics, and the first using RapidMiner software. RapidMiner is gaining in popularity among analytics professionals as it is a non-programming environment that lowers the barriers for managers to adopt analytics. The new addition also covers causal analytics as experimentation (often called A/B testing in the industry), which is now becoming mainstream in the tech companies. Further, the authors have added a new chapter on Responsible Data Science, a new part on AutoML, more on deep learning and beefed up deep learning examples in the text mining and forecasting chapters. These updates make this new edition “state of the art” with respect to modern business analytics and AI. Basic knowledge of Python can be helpful for a few chapters.
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