Hands-on Machine Learning with R

By:

Boehmke, Brad

Contributor(s):

Greenwell, Brandon

Material type: Text

TextPublication details: CRC Press 2020 Boca RatonDescription: 459pISBN:

9781138495685

Subject(s):

Machine Learning - R (Computer Program Language)

DDC classification:

006.31 BOE

List(s) this item appears in: R Books

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Holdings
Item type	Current library	Item location	Collection	Call number	Status	Date due	Barcode	Item holds
Reference Book	NIMA Knowledge Centre	7th Floor Silence Zone	Reference	006.31 BOE (Browse shelf(Opens below))	Not For Loan		M0043356

Total holds: 0

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Previous	005.82 CVE Digital Audio Watermarking Techniques and Technologies: Applications and Benchmarks	006.3 HAS Rough Computing: Theories, Technologies and Applications	006.3 LIN Architectural Design of Multi-Agent Systems: Technologies and Techniques	006.31 BOE Hands-on Machine Learning with R	006.31 VAS Deep Learning: A Comprehensive Guide	006.312 BAU Modern Data Science with R	006.312 BIG Big Data Analytics	Next

I FUNDAMENTALS
1. Introduction to Machine Learning
2. Modeling Process
3. Feature & Target Engineering
II SUPERVISED LEARNING
4. Linear Regression
5. Logistic Regression
6. Regularized
7. Multivariate Adaptive Regression Splines
8. K-Nearest Neighbors
9 Decision Trees
10. Bagging
11. Random Forests
12. Gradient Boosting 1
13. Deep Learning 13.1 Prerequisites
14. Support Vector Machines
15. Stacked Models
16. Interpretable Machine Learning
III DIMENSION REDUCTION
17. Principal Components Analysis
18. Generalized Low Rank Models
19. Auto encoders
IV Clustering
20. K-means Clustering
21. Hierarchical Clustering
22. Model-based Clustering

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