AllLink-Navi

The Shape of Data-2023 After reading this post, we strongly recommend you read  Guidance  to understand our purpose. If you need proxy tools, please browse  this URL If you need VPN Provider, please browse  this URL 📘 「Exploring the Geometry of Data: An Introduction to The Shape of Data 」 In the evolving landscape of data science, understanding the intrinsic structure of data is paramount. The Shape of Data: Geometry-Based Machine Learning and Data Analysis in R by Colleen M. Farrelly and Yaé Ulrich Gaba offers a comprehensive exploration into how geometric and topological concepts can enhance machine learning and data analysis.

R for The Rest of Us a Statistics-free Introduction After reading this post, we strongly recommend you read  Guidance  to understand our purpose. If you need proxy tools, please browse  this URL If you need VPN Provider, please browse  this URL 「📘 Discover the Power of R Without the Jargon: Introducing R for the Rest of Us – A Statistics-Free Introduction (2024) 」 In the ever-evolving landscape of data science and computational research, the capacity to manipulate, visualize, and understand data has become indispensable—not just for statisticians and computer scientists, but for scholars and students across virtually every discipline. Yet for many, the perceived complexity of coding languages like R, compounded by statistical jargon and abstract mathematical concepts, acts as a significant barrier to entry. Fortunately, a groundbreaking publication is poised to change that: 「R for the Rest of Us: A Statistics-Free Introduction (2024)」 , authored by 「David Keyes」...

机器学习与数据科学(基于R的统计学习方法) After reading this post, we strongly recommend you read  Guidance  to understand our purpose. If you need proxy tools, please browse  this URL If you need VPN Provider, please browse  this URL 「摘要：」 本书由美籍学者 Daniel D. Gutierrez 编著，2017 年由人民邮电出版社出版，ISBN 9787115452405，全面介绍了基于 R 环境的统计学习方法，涵盖数据获取、预处理、探索性分析、监督学习、非监督学习以及模型评估等模块，既具理论深度，又兼具实践案例，适合数据科学和机器学习领域的学生与研究人员深入研习🔍。