Data Science An Introduction to Statistics and Machine Learning 2023 [eBook]
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Data Science An Introduction to Statistics and Machine Learning 2023 [eBook] [FCO]
About
Offers a gentle introduction into data science
Contains numerous examples and applications
Provides an overview of basic mathematical concepts 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. These topics are presented in a clear and mathematical sound way to help readers gain a deep and fundamental understanding. Numerous application examples based on real data are included. 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.
About the Author(s)
Matthias Plaue is a versatile researcher with a background in mathematical physics. He has explored diverse domains, spanning from relativity theory to pedestrian dynamics. As a data scientist, he develops algorithms for data analysis and artificial intelligence, tailored to support strategic decision-making. In addition to his professional pursuits, he has devoted considerable time to mentoring students, imparting a deep understanding of mathematics and its practical application in tackling complex problems across the fields of science, technology, and engineering.
Product Details
Author: Matthias Plaue
Publisher: Springer Berlin, Heidelberg (31 August 2023)
Language: English
Paperback: 361 pages
ISBN: 978-3-662-67882-4
Format: True PDF
Source: https://link.springer.com/book/10.1007/978-3-662-67882-4
Forum for discussion >>> https://onehack.us/
https://www.freecoursesonline.me/wp-content/uploads/2023/10/data-science.png
Data Science An Introduction to Statistics and Machine Learning 2023 [eBook] [FCO]
About
Offers a gentle introduction into data science
Contains numerous examples and applications
Provides an overview of basic mathematical concepts 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. These topics are presented in a clear and mathematical sound way to help readers gain a deep and fundamental understanding. Numerous application examples based on real data are included. 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.
About the Author(s)
Matthias Plaue is a versatile researcher with a background in mathematical physics. He has explored diverse domains, spanning from relativity theory to pedestrian dynamics. As a data scientist, he develops algorithms for data analysis and artificial intelligence, tailored to support strategic decision-making. In addition to his professional pursuits, he has devoted considerable time to mentoring students, imparting a deep understanding of mathematics and its practical application in tackling complex problems across the fields of science, technology, and engineering.
Product Details
Author: Matthias Plaue
Publisher: Springer Berlin, Heidelberg (31 August 2023)
Language: English
Paperback: 361 pages
ISBN: 978-3-662-67882-4
Format: True PDF
Source: https://link.springer.com/book/10.1007/978-3-662-67882-4