Statistical learning

The study sheds light on the role of word embeddings in constructing robust spam detection models, offering valuable guidance for model selection. The methodology, comparative analysis, and future directions are also presented in the paper.

5p vithomson 02-07-2024 0 0   Download

Part 1 of ebook "An introduction to statistical learning with applications in R" provides readers with contents including: Chapter 1 - Introduction; Chapter 2 - Statistical learning; Chapter 3 - Linear regression; Chapter 4 - Classification; Chapter 5 - Resampling methods;...

212p daonhiennhien 03-07-2024 1 1   Download

Part 2 of ebook "An introduction to statistical learning with applications in R" provides readers with contents including: Chapter 6 - Linear model selection and regularization; Chapter 7 - Moving beyond linearity; Chapter 8 - Tree-based methods; Chapter 9 - Support vector machines; Chapter 10 - Unsupervised learning;...

222p daonhiennhien 03-07-2024 2 1   Download

Part 1 of ebook "Statistical learning from a regression perspective (Second edition)" provides readers with contents including: Chapter 1 - Statistical learning as a regression problem; Chapter 2 - Splines, smoothers, and kernels;...

149p daonhiennhien 03-07-2024 2 1   Download

Part 2 of ebook "Statistical learning from a regression perspective (Second edition)" provides readers with contents including: Chapter 3 - Classification and regression trees (CART); Chapter 4 - Bagging; Chapter 5 - Random forests; Chapter 6 - Boosting; Chapter 7 - Support vector machines; Chapter 8 - Some other procedures briefly; Chapter 9 - Broader implications and a bit of craft lore; Chapter 10 - Erratum to statistical learning from a regression perspective;...

217p daonhiennhien 03-07-2024 1 1   Download

Part 1 of ebook "The elements of statistical learning: Data mining, inference, and prediction (Second edition)" provides readers with contents including: Chapter 1 - Introduction; Chapter 2 - Overview of supervised learning; Chapter 3 - Linear methods for regression; Chapter 4 - Linear methods for classification; Chapter 5 - Basis expansions and regularization; Chapter 6 - Kernel smoothing methods; Chapter 7 - Model assessment and selection; Chapter 8 - Model inference and averaging; Chapter 9 - Additive models, trees, and related methods;...

355p daonhiennhien 03-07-2024 2 1   Download

Part 2 of ebook "The elements of statistical learning: Data mining, inference, and prediction (Second edition)" provides readers with contents including: Chapter 10 - Boosting and additive trees; Chapter 11 - Neural networks; Chapter 12 - Support vector machines and flexible discriminants; Chapter 13 - Prototype methods and nearest-neighbors; Chapter 14 - Unsupervised learning; Chapter 15 - Random forests; Chapter 16 - Ensemble learning; Chapter 17 - Undirected graphical models; Chapter 18 - High-dimensional problems p ≫ N;...

409p daonhiennhien 03-07-2024 4 1   Download

In this book you will find the basics of probability theory and statistics. In addition, there are several topics that go somewhat beyond the basics but that ought to be present in an introductory course: simulation, the Poisson process, the law of large numbers, and the central limit theorem. Computers have brought many changes in statistics. In particular, the bootstrap has earned its place. It provides the possibility to derive confidence intervals and perform tests of hypotheses where traditional (normal approximation or large sample) methods are inappropriate.

484p zizaybay1103 29-05-2024 3 1   Download

This study developed a statistical model for thermal analysis to describe the variation of railway temperature that aids in detecting the potential excessive displacement in the railway efficiently. In particular, the Seasonal autoregressive integrated moving average (SARIMA) model is adopted to learn and recognize the variation patterns of railroad temperature with time.

5p dathienlang1012 03-05-2024 4 0   Download

This descriptive and correlational study investigated the effects of using PSPP in learning Statistics on students’ attitudes and performance. The respondents of the study were 200 Grade 11 Senior High School students who were enrolled in Probability and Statistics subject during the Second Semester of School Year 2018-2019.

10p viarnault 25-04-2024 1 1   Download

A sample of 327 engineering bachelor students from a public university in Mexico took part in an information integration study to explore systematic thinking underlying propensity for cheating during a course exam. All study participants were provided with written descriptions of 12 scenarios pertaining to the academic evaluation criteria and were asked to rate the likelihood that they would cheat under such circumstances.

14p viarnault 25-04-2024 7 1   Download

The study also found no statistically significant differences attributable to the variables of gender, qualification, or teaching experience, and also that many factors are considered to affect teaching in synchronous virtual classrooms related to the teacher, the family, and the student.

16p viarnault 25-04-2024 4 1   Download

Development research demands a improvement in the implementation of learning by developing products based on learning needs. The products of this development are teacher book and student book based on the realistic mathematic education (RME) approach for package A in statistics material.

13p viarnault 25-04-2024 3 1   Download

Research is considered a vital component for propelling progress and development. This study aims to investigate the effects of problem-based learning (PBL) in the teaching of research methodology and statistics courses on improving research writing skills and enhancing course achievement.

12p viarnault 25-04-2024 3 1   Download

In recent years, there has been an increasing interest in the intervention of thinking skills. One of the main ways of guiding people's thinking about having a healthy and sensible life is to teach employees how to think correctly. Therefore, since the ultimate goal of education is learning, it is important to consider every factor that achieves this goal. Therefore, the main objective of the study was to investigate the effect of training and supply chain management on problem solving, critical thinking, creativity and social skills of employees.

9p longtimenosee10 26-04-2024 2 1   Download

The study used quantitative method in combination with statistical and analytical techniques. The results showed that students recognized the crucial role of pronunciation in the learning process. However, the study also provided information on students' mistakes when learning pronunciation.

10p vilarry 01-04-2024 3 1   Download

The conventional linear econometric and statistical models are not effective for forecasting the nonlinear and complex nature of crude oil prices. Computational intelligence techniques and hybrid modelling principles have been proposed to address this issue. Multiple forecasts can be combined using linear or nonlinear methods to create an aggregate forecast.

6p viritesh 02-04-2024 3 1   Download

Ebook "Statistics in food science and nutrition" will be to highlight the most needed and relevant statistical methods in food science and thus eliminate the need to learn about these methods from other fields. All methods and their applications will be illustrated with examples from research literature.

72p coduathanh1122 27-03-2024 4 2   Download

Part 2 book "Teaching critical thinking in psychology" includes contents: Critical thinking in critical courses - principles and applications, teaching critical thinking in statistics and research methods, writing as critical thinking, using service learning to promote critical thinking in the psychology curriculum, beyond standard lectures - supporting the development of critical thinking in cognitive psychology courses,... and other contents.

151p muasambanhan08 04-03-2024 4 1   Download

This study aims to apply deep learning techniques to detect abnormalities in chest X-ray images and use data science and statistical approaches to improve the performance of the deep learning model. The data was explored and processed to obtain high quality data with optimal characteristics.

10p vimichaelfaraday 28-12-2023 9 5   Download