Springer Texts in Statistics(共117册),这套丛书还有 《Applied Mathematical Demography》《Plane Answers to Complex Questions》《Regression Analysis》《Linear Models for Multivariate, Time Series, and Spatial Data》《Statistical Design》等。 喜欢读"An Introduction to Statistical Learning"的人也喜欢的电子书...
Springer Texts in Statistics(共117册),这套丛书还有 《Fundamentals of Probability》《Statistical Methods for the Analysis of Repeated Measurements》《Plane Answers to Complex Questions》《Elements of Large-Sample Theory》《Statistical Analysis of Financial Data in R》等。 喜欢读"An Introduction to Stat...
Ott and Longnecker's AN INTRODUCTION TO STATISTICAL METHODS AND DATA ANALYSIS, 6th Edition, International Edition provides a broad overview of statistical ... Longnecker,Michael - Duxbury/Thomson Learning, 被引量: 2493发表: 0年 Quantitative data analysis using SPSS:an introduction for health and soc...
An Introduction to Statistical Learning with Applications in R ("ISLR" for short) is a great practical introduction to machine learning. This repository is my personal attempt to "translate" the R Code in the book (contained in R Labs and Applied Exercises as well as some Conceptual Exercises...
Stimulate learning through discovery With its emphasis on the discovery method, this book allows readers to discover solutions on their own rather than simply copy answers or apply a formula by rote. Readers will quickly master and learn to apply statistical methods, such as bootstrap, decision tr...
Large Language Models (LLMs) are a type of deep learning models specifically designed to understand, generate, and manipulate human language. These models have achieved state-of-the-art performance across various natural language processing (NLP) tasks and have greatly impacted the field of artificia...
CH1INTRODUCTION TO STATISTICS(商务统计,英文版)BusinessStatistics BEO1106 WEEK1INTRODUCTIONTOSTATISTICS PRESENTATIONOFDATA Reference:Selvanathanetal.(2004),Chapters1,2 SUBJECTINFORMATION Aim:Thissubjectisanintroductiontothebasicstatisticaltechniquesnecessarytodescribeandanalyzebusinessandeconomicdata.Itsfocusisonsound...
Predictive analytics refers to the application of mathematical models to large amounts of data with the aim of identifying past behavior patterns and predicting future outcomes. The practice combines data collection, data mining, machine learning and statistical algorithms to provide the “predictive” ...
For example, information on website traffic can be used to evaluate the effectiveness of a marketing campaign or details of an employee’s performance can be used to identify areas for improvement. Read Top 50 Data Engineer Interview Questions and Answers to crack your interview! Get 100% Hike...
Learning: Boosting, MIT 6.034 Artificial Intelligence, 2010 xgboost: An R package for Fast and Accurate Gradient Boosting, 2016 XGBoost: A Scalable Tree Boosting System, Tianqi Chen, 2016 Gradient Boosting in Textbooks Section 8.2.3 Boosting, page 321,An Introduction to Statistical Learning: with ...