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Results for "regularization+techniques"
Status: FreeDeepLearning.AI
Status: FreeUniversity of Minnesota
Skills you'll gain: Algebra, Linear Algebra, Mathematics, Problem Solving
The Hong Kong University of Science and Technology
Skills you'll gain: Algebra, Calculus, Computer Programming, Linear Algebra, Mathematical Theory & Analysis, Mathematics, Matlab, Differential Equations, Data Analysis, Critical Thinking
Alberta Machine Intelligence Institute
Skills you'll gain: Algorithms, Human Learning, Machine Learning, Applied Machine Learning, Machine Learning Algorithms, Machine Learning Software, Exploratory Data Analysis, Regression
Status: FreeÉcole normale supérieure
Johns Hopkins University
Skills you'll gain: Calculus, Mathematics
University of Alberta
Skills you'll gain: Machine Learning, Reinforcement Learning
Fractal Analytics
Imperial College London
University of Colorado Boulder
Skills you'll gain: General Statistics, Probability & Statistics, Regression, Calculus, Linear Algebra
Columbia University
Skills you'll gain: Computer Vision
Coursera Project Network
Skills you'll gain: Data Analysis, Machine Learning
In summary, here are 10 of our most popular regularization+techniques courses
- Quantization in Depth:Â DeepLearning.AI
- Matrix Methods:Â University of Minnesota
- Numerical Methods for Engineers:Â The Hong Kong University of Science and Technology
- Machine Learning Algorithms: Supervised Learning Tip to Tail:Â Alberta Machine Intelligence Institute
- Approximation Algorithms Part II: École normale supérieure
- Calculus through Data & Modelling: Techniques of Integration:Â Johns Hopkins University
- Prediction and Control with Function Approximation:Â University of Alberta
- Advanced Machine Learning Algorithms:Â Fractal Analytics
- Interventions and Calibration:Â Imperial College London
- Generalized Linear Models and Nonparametric Regression:Â University of Colorado Boulder
