Semantic Scholar Open Access 2019 43 sitasi

Data Science and Machine Learning

Dirk P. Kroese Z. Botev T. Taimre Radislav Vaisman

Abstrak

The purpose of Data Science and Machine Learning: Mathematical and Statistical Methods is to provide an accessible, yet comprehensive textbook intended for students interested in gaining a better understanding of the mathematics and statistics that underpin the rich variety of ideas and machine learning algorithms in data science.

Penulis (4)

Dirk P. Kroese

Z. Botev

T. Taimre

Radislav Vaisman

Format Sitasi

APA MLA BibTeX

Kroese, D.P., Botev, Z., Taimre, T., Vaisman, R. (2019). Data Science and Machine Learning. https://doi.org/10.1201/9780367816971

Akses Cepat

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Informasi Jurnal

Tahun Terbit: 2019
Bahasa: en
Total Sitasi: 43×
Sumber Database: Semantic Scholar
DOI: 10.1201/9780367816971
Akses: Open Access ✓