Machine Learning Fundamentals for Forecasting Analytics: Algorithms, Worked Examples, and Case Studies
39.99 €
Out of stock
Machine Learning Fundamentals for Forecasting Analytics: Algorithms, Worked Examples, and Case Studies
39.99 €
This book is a textbook on machine learning with a focus on business applications. It provides a detailed description of the most important machine learning approaches used in data mining, covering both theoretical concepts and practical applications. Formal mathematical material is complemented by illustrative examples, and case studies illustrate the application of these models in a broader business context.
The book covers information-based learning, similarity-based learning, probabilistic learning, and error-based learning. Each of these approaches is described by an explanation of the underlying concept, followed by mathematical models and algorithms illustrated with detailed worked examples.
The book discusses methods for evaluating predictive models and offers two case studies that describe specific data mining projects at each stage of development, from the formulation of a business problem to the implementation of an analytical solution.
The book can be used as a textbook for undergraduate and graduate students specializing in machine learning, computer science, engineering, mathematics, and statistics, as well as a reference for professionals.
The book covers information-based learning, similarity-based learning, probabilistic learning, and error-based learning. Each of these approaches is described by an explanation of the underlying concept, followed by mathematical models and algorithms illustrated with detailed worked examples.
The book discusses methods for evaluating predictive models and offers two case studies that describe specific data mining projects at each stage of development, from the formulation of a business problem to the implementation of an analytical solution.
The book can be used as a textbook for undergraduate and graduate students specializing in machine learning, computer science, engineering, mathematics, and statistics, as well as a reference for professionals.
See also:
- All books by the publisher
- All books by the author