Statistical Modeling in Machine Learning: Concepts and Applications 1st Edition
by Tilottama Goswami , Ganesh R. Sinha
Publisher finelybook 出版社: Academic Press; 1st edition (November 25, 2022)
Language 语言: English
Print length 页数: 396 pages
ISBN-10: 0323917763
ISBN-13: 9780323917766
Book Description
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.
Statistical Modeling in Machine Learning: Concepts and Applications
相关推荐
- Ultimate MLOps for Machine Learning Models: Use Real Case Studies to Efficiently Build, Deploy, and Scale Machine Learning Pipelines with MLOps
- Mastering IBM CMOD for RedHat Linux and Windows 11 Servers
- Modern Web Development with Angular: Build Cutting-Edge, Scalable Web Apps from Scratch with Angular, TypeScript, and Reactive Programming
- Ultimate Generative AI Solutions on Google Cloud
finelybook
