HenrikBrink（亨里克·布林克）是一名数据科学家，对应用机器学习进行工业和学术应用开发有着丰富的经验。 JosephRichards（约瑟夫W理查兹）也是一位数据科学家，具有应用统计和预测分析方面的专业知识。Henrik和Joseph是Wise.io的联合创立者，Wise.io是一家提供工业机器学习解决方案的开发商。 MarkFetherolf（马克·弗特罗夫）是数据管理和预测分析公司NuminaryDataScience的创始人和总裁。他曾在社会科学研究、化学工程、信息系统性能、容量规划、有线电视和在线广告应用等方面担任统计师和分析数据库开发人员。

HenrikBrink（亨里克·布林克）是一名数据科学家，对应用机器学习进行工业和学术应用开发有着丰富的经验。 JosephRichards（约瑟夫W理查兹）也是一位数据科学家，具有应用统计和预测分析方面的专业知识。Henrik和Joseph是Wise.io的联合创立者，Wise.io是一家提供工业机器学习解决方案的开发商。 MarkFetherolf（马克·弗特罗夫）是数据管理和预测分析公司NuminaryDataScience的创始人和总裁。他曾在社会科学研究、化学工程、信息系统性能、容量规划、有线电视和在线广告应用等方面担任统计师和分析数据库开发人员。

This book covers the field of machine learning, which is the study of algorithms that allow computer programs to automatically improve through experience. The book is intended to support upper level undergraduate and introductory level graduate courses in machine learning.

This book covers the field of machine learning, which is the study of algorithms that allow computer programs to automatically improve through experience. The book is intended to support upper level undergraduate and introductory level graduate courses in machine learning.

This book covers the field of machine learning, which is the study of algorithms that allow computer programs to automatically improve through experience. The book is intended to support upper level undergraduate and introductory level graduate courses in machine learning.

Machine Learning: A Bayesian and Optimization Perspective, 2nd edition, gives a unified perspective on machine learning by covering both pillars of supervised learning, namely regression and classification. The book starts with the basics, including mean square, least squares and maximum likelihood methods, ridge regression, Bayesian decision theory classification, logistic reg...(展开全部)

This book covers the field of machine learning, which is the study of algorithms that allow computer programs to automatically improve through experience. The book is intended to support upper level undergraduate and introductory level graduate courses in machine learning.

This book covers the field of machine learning, which is the study of algorithms that allow computer programs to automatically improve through experience. The book is intended to support upper level undergraduate and introductory level graduate courses in machine learning.

This book covers the field of machine learning, which is the study of algorithms that allow computer programs to automatically improve through experience. The book is intended to support upper level undergraduate and introductory level graduate courses in machine learning.