Fundamentals of robust machine learning: Handling outliers and anomalies in data science
Fundamentals of Robust Machine Learning offers a thorough but accessible overview of this subject by focusing on how to properly handle outliers and anomalies in datasets. There are two main ...
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Detail Informasi
Sinopsis Buku

Kode Buku	:	250076
Kode Klasifikasi	:	006.31
Judul Buku	:	Fundamentals of robust machine learning: Handling outliers and anomalies in data science
Edisi	:	1
Penulis	:	Resve Saleh, Sohib Majzoub
Penerbit	:	Wiley
Bahasa	:	Inggris
Tahun	:	2025
ISBN	:	978-1-394-29437-4
Tajuk Subjek	:	machine learning
Deskripsi	:	xix, 386 hlm; 29 cm
Eksemplar	:	1
Stok	:	1
Petugas Input	:	Suagam. S.Kom

Fundamentals of Robust Machine Learning offers a thorough but accessible overview of this subject by focusing on how to properly handle outliers and anomalies in datasets. There are two main approaches described in the book: using outlier-tolerant ML tools, or removing outliers before using conventional tools. Balancing theoretical foundations with practical Python code, it provides all the necessary skills to enhance the accuracy, stability and reliability of ML models.

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