Training a support vector machine in R with mlr. part 1 /
A senior laboratory research scientist at the Francis Crick Institute and Manning's author, Hefin I. Rhys, explains how the SVM algorithm works and teaches you how to train, tune, and cross-validate an SVM model using R Studio and the awesome mlr machine learning package.
| Format: | Video |
|---|---|
| Language: | English |
| Published: |
[Place of publication not identified] :
Manning Publications,
2020.
|
| Edition: | [First edition]. |
| Subjects: | |
| Online Access: | Connect to the full text of this electronic book |
Similar Items
Training a support vector machine in R with mlr,
Published: (2020)
Published: (2020)
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)
Practical Machine Learning in R.
by: Nwanganga, Fred
Published: (2020)
by: Nwanganga, Fred
Published: (2020)
Applications of KNN algorithm.
Published: (2019)
Published: (2019)
Machine learning with R : expert techniques for predictive modeling /
by: Lantz, Brett
Published: (2019)
by: Lantz, Brett
Published: (2019)
Mathematics and R programming for machine learning : from the ground up /
by: Claster, William B.
Published: (2020)
by: Claster, William B.
Published: (2020)
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)
Machine learning with R : introduction and regression.
Published: (2018)
Published: (2018)
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)
Distributed machine learning with Python : accelerating model training and serving with distributed systems /
by: Wang, Guanhua
Published: (2022)
by: Wang, Guanhua
Published: (2022)
Machine learning projects with Java /
Published: (2019)
Published: (2019)
Gradient descent : practice.
Published: (2018)
Published: (2018)
Hands-on machine learning for algorithmic trading bots with Python.
Published: (2019)
Published: (2019)
Hands-on machine learning with R /
by: Boehmke, Brad, et al.
Published: (2020)
by: Boehmke, Brad, et al.
Published: (2020)
Data science, analytics and machine learning with R /
by: Fávero, Luiz Paulo, et al.
Published: (2023)
by: Fávero, Luiz Paulo, et al.
Published: (2023)
Support vector machine (SVM) : practice.
Published: (2018)
Published: (2018)
Machine learning with Python : introduction and classification.
Published: (2018)
Published: (2018)
Scaled Forecasting with Python and R /
Published: (2021)
Published: (2021)
Deep Learning for Beginners
by: Rivas, Dr. Pablo
Published: (2020)
by: Rivas, Dr. Pablo
Published: (2020)
Data science solutions with Python : fast and scalable models using Keras, Pyspark Mllib, H2O, XGBoost, and scikit-Learn /
by: Tshepo, Chris Nokeri
Published: (2022)
by: Tshepo, Chris Nokeri
Published: (2022)
Machine learning : kurz & gut /
by: Nguyen, Chi Nhan, et al.
Published: (2018)
by: Nguyen, Chi Nhan, et al.
Published: (2018)
Grokking Machine Learning.
by: Serrano, Luis G.
Published: (2021)
by: Serrano, Luis G.
Published: (2021)
Machine learning bookcamp /
by: Grigoriev, Alexey
Published: (2021)
by: Grigoriev, Alexey
Published: (2021)
Machine learning : hands-on for developers and technical professionals /
by: Bell, Jason (Computer scientist)
Published: (2020)
by: Bell, Jason (Computer scientist)
Published: (2020)
Getting started with machine learning in R /
Published: (2018)
Published: (2018)
Ensemble machine learning techniques /
Published: (2018)
Published: (2018)
Design Patterns für Machine Learning /
by: Lakshmanan, Valliappa, et al.
Published: (2021)
by: Lakshmanan, Valliappa, et al.
Published: (2021)
Data science and machine learning : (theory and projects) A to Z.
Published: (2021)
Published: (2021)
Fundamentals and methods of machine and deep learning : algorithms, tools and applications /
Published: (2022)
Published: (2022)
Machine learning applications in electromagnetics and antenna array processing /
by: Martínez-Ramón, Manel, 1968-
Published: (2021)
by: Martínez-Ramón, Manel, 1968-
Published: (2021)
Hands-on network machine learning with Python /
by: Bridgeford, Eric W., et al.
Published: (2025)
by: Bridgeford, Eric W., et al.
Published: (2025)
Machine learning avec R
by: Burger, Scott V.
Published: (2018)
by: Burger, Scott V.
Published: (2018)
Machine learning les fondamentaux /
by: Harrison, Matt
Published: (2019)
by: Harrison, Matt
Published: (2019)
Deep learning with PyTorch Lightning : build and train high-performance artificial intelligence and self-supervised models using Python /
by: Sawarkar, Kunal, et al.
Published: (2021)
by: Sawarkar, Kunal, et al.
Published: (2021)
Learn Python in five minutes with Colab Notebook.
Published: (2022)
Published: (2022)
Machine Learning für Softwareentwickler
by: Perrotta, Paolo
Published: (2020)
by: Perrotta, Paolo
Published: (2020)
Machine Learning Engineering with Python : Manage the Production Life Cycle of Machine Learning Models Using MLOps with Practical Examples.
by: McMahon, Andrew P.
Published: (2021)
by: McMahon, Andrew P.
Published: (2021)
Python machine learning tips, tricks, and techniques /
Published: (2018)
Published: (2018)