23.21.2599
006.312 - Data mining
Buku - Elektronik (E-Book)
Data Mining., Big Data, Machine Learning,
Tel-U Bandung - Gedung Manterawu Lantai 5 : Rak 4
Tel-U Purwokerto : Rak 3
169 kali
"This textbook is a well-rounded, rigorous, and informative work presenting the mathematics behind modern machine learning techniques. It hits all the right notes: the choice of topics is up-to-date and perfect for a course on data science for mathematics students at the advanced undergraduate or early graduate level. This book fills a sorely-needed gap in the existing literature by not sacrificing depth for breadth, presenting proofs of major theorems and subsequent derivations, as well as providing a copious amount of Python code. I only wish a book like this had been around when I first began my journey!" -Nicholas Hoell, University of Toronto
"This is a well-written book that provides a deeper dive into data-scientific methods than many introductory texts. The writing is clear, and the text logically builds up regularization, classification, and decision trees. Compared to its probable competitors, it carves out a unique niche. -Adam Loy, Carleton College
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.
Tersedia 1 dari total 1 Koleksi
Nama | Dirk P. Kroese, Zdravko Botev, Thomas Taimre, Radislav Vaisman |
Jenis | Perorangan |
Penyunting | |
Penerjemah |
Nama | CRC Press |
Kota | Boca Raton |
Tahun | 2019 |
Harga sewa | IDR 0,00 |
Denda harian | IDR 0,00 |
Jenis | Non-Sirkulasi |