Mathematical Foundations of Big Data Analytics
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Abstract
Individual chapters are listed in the "Chapters" tab
Suggested Citation
DOI: 10.1007/978-3-662-62521-7
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Book Chapters
The following chapters of this book are listed in IDEAS- Vladimir Shikhman & David Müller, 2021. "Ranking," Springer Books, in: Mathematical Foundations of Big Data Analytics, chapter 1, pages 1-20, Springer.
- Vladimir Shikhman & David Müller, 2021. "Online Learning," Springer Books, in: Mathematical Foundations of Big Data Analytics, chapter 2, pages 21-39, Springer.
- Vladimir Shikhman & David Müller, 2021. "Recommendation Systems," Springer Books, in: Mathematical Foundations of Big Data Analytics, chapter 3, pages 41-61, Springer.
- Vladimir Shikhman & David Müller, 2021. "Classification," Springer Books, in: Mathematical Foundations of Big Data Analytics, chapter 4, pages 63-85, Springer.
- Vladimir Shikhman & David Müller, 2021. "Clustering," Springer Books, in: Mathematical Foundations of Big Data Analytics, chapter 5, pages 87-105, Springer.
- Vladimir Shikhman & David Müller, 2021. "Linear Regression," Springer Books, in: Mathematical Foundations of Big Data Analytics, chapter 6, pages 107-129, Springer.
- Vladimir Shikhman & David Müller, 2021. "Sparse Recovery," Springer Books, in: Mathematical Foundations of Big Data Analytics, chapter 7, pages 131-148, Springer.
- Vladimir Shikhman & David Müller, 2021. "Neural Networks," Springer Books, in: Mathematical Foundations of Big Data Analytics, chapter 8, pages 149-169, Springer.
- Vladimir Shikhman & David Müller, 2021. "Decision Trees," Springer Books, in: Mathematical Foundations of Big Data Analytics, chapter 9, pages 171-191, Springer.
- Vladimir Shikhman & David Müller, 2021. "Solutions," Springer Books, in: Mathematical Foundations of Big Data Analytics, chapter 10, pages 193-263, Springer.
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