Data science, analytics and machine learning with R
Data Science, Analytics and Machine Learning with R explains the principles of data mining and machine learning techniques and accentuates the importance of applied and multivariate modeling. The book emphasizes the fundamentals of each technique, with step-by-step codes and real-world examples with...
Saved in:
Main Author: | Fávero, Luiz Paulo, |
---|---|
Other Authors: | Belfiore, Patrícia Prado,, De Freitas Souza, Rafael,, ScienceDirect (Online service) |
Format: | eBook |
Language: | English |
Published: |
London :
Academic Press,
[2023]
|
Physical Description: |
1 online resource (558 pages) : illustrations. |
Edition: | Fisrt edition. |
Subjects: |
In Prospector
Similar Items
-
Machine learning for earth sciences : using Python to solve geological problems
by: Petrelli, Maurizio,
Published: (2023) -
Deep learning-based approaches for sentiment analysis
Published: (2020) -
Learning with the minimum description length principle
by: Yamanishi, Kenji.
Published: (2023) -
Dual learning
by: Qin, Tao,
Published: (2020) -
Machine learning and deep learning in computational toxicology
Published: (2023)