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Results for "regularization+methods"
Johns Hopkins University
Skills you'll gain: Data Analysis, R Programming
Imperial College London
Skills you'll gain: Algebra, Calculus, Linear Algebra, Mathematics, Differential Equations, Machine Learning, Machine Learning Algorithms, Mathematical Theory & Analysis, Data Visualization, Regression
Johns Hopkins University
Skills you'll gain: General Statistics, Probability & Statistics, Linear Algebra, Mathematics, Algebra, Regression
Illinois Tech
Skills you'll gain: R Programming
Coursera Project Network
Skills you'll gain: Data Analysis, Machine Learning
Johns Hopkins University
Skills you'll gain: Combinatorics, Data Visualization, Network Analysis
Coursera Project Network
Skills you'll gain: Data Analysis, Machine Learning
- Status: Free
Coursera Project Network
Skills you'll gain: Machine Learning
Johns Hopkins University
Skills you'll gain: General Statistics, Probability & Statistics, Linear Algebra, Mathematics, Regression, Algebra, Correlation And Dependence
Skills you'll gain: Machine Learning, Tensorflow
University of Pennsylvania
Johns Hopkins University
In summary, here are 10 of our most popular regularization+methods courses
- Advanced Reproducibility in Cancer Informatics:Â Johns Hopkins University
- Mathematics for Machine Learning: Multivariate Calculus:Â Imperial College London
- Advanced Linear Models for Data Science 2: Statistical Linear Models:Â Johns Hopkins University
- Model Diagnostics and Remedial Measures:Â Illinois Tech
- Scikit-Learn For Machine Learning Classification Problems:Â Coursera Project Network
- Statistical Methods for Computer Science:Â Johns Hopkins University
- Scikit-Learn to Solve Regression Machine Learning Problems:Â Coursera Project Network
- Tidymodels in R: Building tidy machine learning models:Â Coursera Project Network
- Advanced Linear Models for Data Science 1: Least Squares:Â Johns Hopkins University
- Foundations of Deep Learning and Neural Networks:Â Packt