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Statistical Modeling in Machine Learning : Concepts and Applications, Paperba...

Description: Statistical Modeling in Machine Learning : Concepts and Applications, Paperback by Goswami, Tilottama (EDT); Sinha, G. R. (EDT), ISBN 0323917763, ISBN-13 9780323917766, Like New Used, Free shipping in the US Statistical Modeling in Machine Learning: Concepts and Applications presents the basic concepts and roles of statistics, exploratory data analysis and machine learning. The various aspects of Machine Learning are discussed along with basics of statistics. Concepts are presented with simple examples and graphical representation for better understanding of techniques. This book takes a holistic approach – putting key concepts together with an in-depth treatise on multi-disciplinary applications of machine learning. New case studies and research problem statements are discussed, which will help researchers in their application areas based on the concepts of statistics and machine learning. Statistical Modeling in Machine Learning: Concepts and Applications will help statisticians, machine learning practitioners and programmers solving various tasks such as classification, regression, clustering, forecasting, recommending and more. Provides a comprehensive overview of the state-of-the-art in statistical concepts applied to Machine Learning with the help of real-life problems, applications and tutorials Presents a step-by-step approach from fundamentals to advanced techniques Includes Case Studies with both successful and unsuccessful applications of Machine Learning to understand challenges in its implementation, along with worked examples

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End Time: 2025-01-25T02:49:57.000Z

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Statistical Modeling in Machine Learning : Concepts and Applications, Paperba...

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Book Title: Statistical Modeling in Machine Learning : Concepts and Applicati

Number of Pages: 400 Pages

Language: English

Publication Name: Statistical Modeling in Machine Learning : concepts and Applications

Publisher: Elsevier Science & Technology

Publication Year: 2022

Subject: Biotechnology, Intelligence (Ai) & Semantics, Biomedical

Type: Textbook

Item Length: 9.2 in

Subject Area: Computers, Technology & Engineering, Science

Author: G. R. Sinha

Item Width: 7.5 in

Format: Trade Paperback

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