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Machine Learning: Konsep dan Implementasinya

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Bagian 1 Dasar Matematika Machine Learning
Bab 1 Matriks, Vektor dan Kalkulus
Bab 2 Statistika dan Peluang

Bagian 2 Konsep Dasar Machine Learning
Bab 3 Pengertian Dasar Machine Learning
Bab 4 Teknik Pembelajaran dalam Machine Learning
Bab 5 Pentingnya Dataset dalam Machine Learning

Bagian 3 Implementasi Pembelajaran Supervised
Bab 6 Regresi Linear dan Regresi Logistik
Bab 7 K-Nearest Neighbors dan Decission Tree
Bab 8 Random Forest, Naive Bayes
Bab 9 Support Vector Machines

Bagian 4 Implementasi Pembe;ajaran Unsupervised
Bab 10 Model K-Means
Bab 11 Model Principal Component Analysis
Bab 12 Model DBSCAN dan ST-DBSCAN

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Availability

5555131284

006.31 HER m

Pusat (Sirkulasi)

Available

Detail Information

Series Title

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Call Number

006.31 HER m

Publisher

Yogyakarta : Gava Media., 2020

Collation

xiii, 178p.: Biblio.; 16 x 23 cm.

Language

Indonesia

ISBN/ISSN

978-623-7498-59-9

Classification

006.31

Content Type

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Media Type

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Carrier Type

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Edition

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Subject(s)

MACHINE LEARNING

Specific Detail Info

Cet. 1

Statement of Responsibility

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