Filter by
The language used throughout the course, in both instruction and assessments.
Results for "regularization+methods"
Wesleyan University
Skills you'll gain: Regression
Skills you'll gain: Computer Vision, Deep Learning, Matlab
Coursera Project Network
Skills you'll gain: Deep Learning
Skills you'll gain: Reinforcement Learning
Skills you'll gain: Machine Learning, Regression
University of Toronto
Skills you'll gain: Bioinformatics
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
Skills you'll gain: Deep Learning
University of Colorado Boulder
Skills you'll gain: Problem Solving
LearnQuest
Skills you'll gain: Machine Learning, Python Programming
University of Illinois Urbana-Champaign
Fractal Analytics
In summary, here are 10 of our most popular regularization+methods courses
- Regression Modeling in Practice:Â Wesleyan University
- Advanced Deep Learning Techniques for Computer Vision:Â MathWorks
- Deep Learning with PyTorch : Object Localization:Â Coursera Project Network
- AI and Machine Learning Algorithms and Techniques:Â Microsoft
- Build Regression, Classification, and Clustering Models:Â CertNexus
- Bioinformatic Methods II:Â University of Toronto
- Mathematics for Machine Learning: Multivariate Calculus:Â Imperial College London
- Build Decision Trees, SVMs, and Artificial Neural Networks:Â CertNexus
- Approximation Methods:Â University of Colorado Boulder
- Machine Learning Models in Science:Â LearnQuest