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...
| Main Authors: | Fávero, Luiz Paulo (Author), Belfiore, Patrícia Prado (Author), De Freitas Souza, Rafael (Author) |
|---|---|
| Corporate Author: | ScienceDirect (Online service) |
| Format: | eBook |
| Language: | English |
| Published: |
London :
Academic Press,
[2023]
|
| Edition: | Fisrt edition. |
| Subjects: | |
| Online Access: | Connect to the full text of this electronic book |
Similar Items
Machine learning with R : classification.
Published: (2018)
Published: (2018)
Machine learning with R : clustering.
Published: (2018)
Published: (2018)
Machine learning learning outcomes.
Published: (2019)
Published: (2019)
Applications of KNN algorithm.
Published: (2019)
Published: (2019)
Machine learning with R : introduction and regression.
Published: (2018)
Published: (2018)
Getting started with machine learning in R /
Published: (2018)
Published: (2018)
Practical Machine Learning in R.
by: Nwanganga, Fred
Published: (2020)
by: Nwanganga, Fred
Published: (2020)
Training a support vector machine in R with mlr.
Published: (2020)
Published: (2020)
Training a support vector machine in R with mlr,
Published: (2020)
Published: (2020)
Machine learning with R : expert techniques for predictive modeling /
by: Lantz, Brett
Published: (2019)
by: Lantz, Brett
Published: (2019)
Gradient descent : practice.
Published: (2018)
Published: (2018)
The art of machine learning : a hands-on guide to machine learning with R /
by: Matloff, Norman S.
Published: (2024)
by: Matloff, Norman S.
Published: (2024)
Just Enough R! : an Interactive Approach to Machine Learning and Analytics.
by: Roiger, Richard J.
Published: (2020)
by: Roiger, Richard J.
Published: (2020)
Machine learning for archaeological applications in R /
by: Argote, Denisse L.
Published: (2024)
by: Argote, Denisse L.
Published: (2024)
Using machine learning to manage & analyze unstructured financial services data : Pendo Systems.
Published: (2019)
Published: (2019)
Machine learning with Python : introduction and classification.
Published: (2018)
Published: (2018)
Python machine learning by example : build intelligent systems using Python, TensorFlow 2, PyTorch, and scikit-learn /
by: Liu, Yuxi (Hayden)
Published: (2020)
by: Liu, Yuxi (Hayden)
Published: (2020)
ESSENTIALS OF BIG DATA ANALYTICS applications in R and Python /
by: CHAVAN, PALLAVI
Published: (2026)
by: CHAVAN, PALLAVI
Published: (2026)
Data science projects with Python : a case study approach to gaining valuable insights from real data with machine learning /
by: Klosterman, Stephen
Published: (2021)
by: Klosterman, Stephen
Published: (2021)
Scaled Forecasting with Python and R /
Published: (2021)
Published: (2021)
PyTorch deep learning in 7 days /
Published: (2019)
Published: (2019)
Stochastic Processes with R : an Introduction.
by: Korosteleva, Olga
Published: (2022)
by: Korosteleva, Olga
Published: (2022)
Advanced analytics with R and Tableau : advanced visual analytical solutions for your business /
by: Stirrup, Jen, et al.
Published: (2017)
by: Stirrup, Jen, et al.
Published: (2017)
Machine learning avec R
by: Burger, Scott V.
Published: (2018)
by: Burger, Scott V.
Published: (2018)
Introduction to machine learning with Python : a guide for data scientists /
by: Müller, Andreas C., et al.
Published: (2017)
by: Müller, Andreas C., et al.
Published: (2017)
Deep learning : from big data to artificial intelligence with R /
by: Tuffery, Stéphane
Published: (2023)
by: Tuffery, Stéphane
Published: (2023)
Logistic regression : practice.
Published: (2018)
Published: (2018)
Introduction to statistics with R.
Published: (2016)
Published: (2016)
Implementing R for statistics /
by: Imran, Muhammad, et al.
Published: (2026)
by: Imran, Muhammad, et al.
Published: (2026)
Clustering : practice - k-means.
Published: (2018)
Published: (2018)
Machine learning for factor investing : Python version /
by: Coqueret, Guillaume, et al.
Published: (2023)
by: Coqueret, Guillaume, et al.
Published: (2023)
Supervised machine learning : optimization framework and applications with SAS and R /
by: Kolosova, Tanya, et al.
Published: (2021)
by: Kolosova, Tanya, et al.
Published: (2021)
Introduction to R.
Published: (2018)
Published: (2018)
Wildcarding.
Published: (2017)
Published: (2017)
Data science.
Published: (2023)
Published: (2023)
Pedigree analysis in R /
by: Vigeland, Magnus Dehli
Published: (2021)
by: Vigeland, Magnus Dehli
Published: (2021)
Basic statistics with R : reaching decisions with data /
by: Loftus, Stephen C.
Published: (2021)
by: Loftus, Stephen C.
Published: (2021)
Clustering : practice - agglomerative clustering.
Published: (2018)
Published: (2018)
R programming for mass spectrometry : effective and reproducible data analysis /
by: Julian, Randall K.
Published: (2025)
by: Julian, Randall K.
Published: (2025)
Practical machine learning for data analysis using python /
by: Subasi, Abdulhamit
Published: (2020)
by: Subasi, Abdulhamit
Published: (2020)