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Results for "regularization techniques"
- Status: Free
Princeton University
Skills you'll gain: Algorithms, Computer Programming, Data Structures, Java Programming, Problem Solving, Programming Principles, Theoretical Computer Science, Computational Thinking, Critical Thinking
- Status: Free
DeepLearning.AI
Skills you'll gain: Machine Learning, Probability & Statistics, Regression, Statistical Machine Learning, Machine Learning Algorithms, Data Analysis, Human Learning, Statistical Tests, Applied Machine Learning, Machine Learning Software
Stanford University
Skills you'll gain: Algorithms, Theoretical Computer Science, Computer Programming, Problem Solving, Graph Theory, Mathematics, Data Structures, Computational Thinking, Mathematical Theory & Analysis, Critical Thinking, Computational Logic, Programming Principles, Software Engineering
Skills you'll gain: Human Learning, Machine Learning, Deep Learning, Python Programming, Artificial Neural Networks, Machine Learning Algorithms, Applied Machine Learning, Algorithms, Regression, Mathematics, Tensorflow
Multiple educators
Skills you'll gain: Machine Learning, Machine Learning Algorithms, Applied Machine Learning, Algorithms, Deep Learning, Machine Learning Software, Artificial Neural Networks, Human Learning, Python Programming, Regression, Statistical Machine Learning, Mathematics, Tensorflow, Critical Thinking, Network Model, Reinforcement Learning
DeepLearning.AI
Skills you'll gain: Applied Machine Learning, Deep Learning, Machine Learning, Artificial Neural Networks, Machine Learning Algorithms, Algorithms, Computer Programming, Mathematics, Python Programming, Mathematical Theory & Analysis, Tensorflow, Human Learning
DeepLearning.AI
Skills you'll gain: Deep Learning, Machine Learning, Tensorflow, Artificial Neural Networks, Applied Machine Learning, Python Programming, Machine Learning Algorithms, Human Learning, Computer Vision, Computer Programming, Network Model, Machine Learning Software, Network Architecture, Training, Visualization (Computer Graphics), Strategy
- Status: Free
Princeton University
Skills you'll gain: Algorithms, Java Programming, Computer Programming, Graph Theory, Data Structures
- Status: Free
Princeton University
Skills you'll gain: Mathematics, Algorithms, Mathematical Theory & Analysis, Theoretical Computer Science, Combinatorics
Imperial College London
Skills you'll gain: Algebra, Linear Algebra, Mathematics, Machine Learning, Mathematical Theory & Analysis, Computer Programming, Python Programming, Machine Learning Algorithms, Calculus, Computational Logic, Differential Equations, Problem Solving, Statistical Analysis, Data Visualization, Dimensionality Reduction, Computer Programming Tools, Statistical Programming, Probability & Statistics, Regression
Imperial College London
Skills you'll gain: Algebra, Linear Algebra, Machine Learning, Mathematics, Computer Programming, Dimensionality Reduction, Mathematical Theory & Analysis, Python Programming, Statistical Analysis, Statistical Programming
In summary, here are 10 of our most popular regularization techniques courses
- Algorithms, Part I:Â Princeton University
- Finetuning Large Language Models:Â DeepLearning.AI
- Supervised Machine Learning: Regression:Â IBM
- Algorithms:Â Stanford University
- Introduction to Neural Networks and PyTorch:Â IBM
- Machine Learning:Â DeepLearning.AI
- Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization:Â DeepLearning.AI
- TensorFlow: Advanced Techniques:Â DeepLearning.AI
- Algorithms, Part II:Â Princeton University
- Analysis of Algorithms:Â Princeton University