Filter by
The language used throughout the course, in both instruction and assessments.
Results for "regularization+techniques"
University of Colorado Boulder
Skills you'll gain: Regression
University of Colorado Boulder
Skills you'll gain: Problem Solving
Johns Hopkins University
Skills you'll gain: Feature Engineering
University of Colorado Boulder
Skills you'll gain: Calculus, Mathematics, Mathematical Theory & Analysis
Coursera Project Network
Skills you'll gain: Data Analysis, Machine Learning
Status: FreeNew York University
University of Illinois Urbana-Champaign
Johns Hopkins University
Johns Hopkins University
Johns Hopkins University
Skills you'll gain: Reinforcement Learning
Johns Hopkins University
Skills you'll gain: Data Analysis, R Programming
Status: FreeIIT Roorkee
Skills you'll gain: Data Science, Linear Algebra, Machine Learning, Mathematics
In summary, here are 10 of our most popular regularization+techniques courses
- Regression Analysis:Â University of Colorado Boulder
- Approximation Methods:Â University of Colorado Boulder
- Applied Machine Learning: Techniques and Applications:Â Johns Hopkins University
- Integral Calculus and Numerical Analysis for Data Science:Â University of Colorado Boulder
- Solving ML Regression Problems with AWS AutoGluon:Â Coursera Project Network
- MOST from a Methodological Perspective:Â New York University
- Advanced Deep Learning Methods for Healthcare:Â University of Illinois Urbana-Champaign
- Mastering Neural Networks and Model Regularization:Â Johns Hopkins University
- Network Visualization and Intervention:Â Johns Hopkins University
- Advanced Methods in Machine Learning Applications:Â Johns Hopkins University
