Titlebook: Data Science; An Introduction to S Matthias Plaue Textbook 2023 The Editor(s) (if applicable) and The Author(s), under exclusive license to

爆裂

书目名称Data Science影响因子(影响力)




书目名称Data Science影响因子(影响力)学科排名




书目名称Data Science网络公开度




书目名称Data Science网络公开度学科排名




书目名称Data Science被引频次




书目名称Data Science被引频次学科排名




书目名称Data Science年度引用




书目名称Data Science年度引用学科排名




书目名称Data Science读者反馈




书目名称Data Science读者反馈学科排名

外面

Multivariate statisticsltivariate methods allow for the joint study of statistical variables and their relationships between each other with the goal of capturing a complete picture of the data. In machine learning, this approach is essential, as predictions are based on a large number of features and their statistical ch

encyclopedia

Ambulatory

Textbook 2023ded. The book is well-suited for lecturers and students at technical universities, and offers a good introduction and overview for people who are new to the subject. Basic mathematical knowledge of calculus and linear algebra is required..

linguistics

ts and algorithms of data science.This textbook provides an easy-to-understand introduction to the mathematical concepts and algorithms at the foundation of data science. It covers essential parts of data organization, descriptive and inferential statistics, probability theory, and machine learning.

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热情赞扬

Matthias PlaueOffers a gentle introduction into data science.Contains numerous examples and applications.Provides an overview of basic mathematical concepts and algorithms of data science

FIR

揉杂

https://doi.org/10.1007/978-0-387-75943-2., as it is the result of ., the merging of data from different and diverse .. When planning to build a large and/or heterogeneous database (buzzword: .) while ensuring the quality of the collected data, special challenges arise that we address in this chapter.

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