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Results for "regularization+techniques"
University of Michigan
Skills you'll gain: Algebra, Continuous Integration, Critical Thinking, Problem Solving, Computer Programming
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, Algorithms, Applied Machine Learning, Differential Equations, Problem Solving, Statistical Analysis, Dimensionality Reduction, Statistical Programming, Probability & Statistics, Regression
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
Johns Hopkins University
Skills you'll gain: Data Analysis, R Programming, Statistical Programming, Exploratory Data Analysis, Computer Programming, Computer Programming Tools, Data Management, Programming Principles, Data Analysis Software, Data Structures, Statistical Analysis, Critical Thinking, Problem Solving, General Statistics, Process Analysis, Basic Descriptive Statistics, Statistical Tests, Computational Thinking, Big Data, Data Mining, Data Visualization, Databases, Extract, Transform, Load, Plot (Graphics), Communication, Computer Graphic Techniques, Computer Graphics, Interactive Data Visualization, Knitr, Visualization (Computer Graphics)
Johns Hopkins University
Skills you'll gain: Statistical Programming, R Programming, Probability & Statistics, Data Management, Data Structures, Data Analysis, Statistical Analysis, Data Visualization, Visualization (Computer Graphics), General Statistics, Research and Design, Experiment, Correlation And Dependence, Mathematical Theory & Analysis, Process Analysis, Spatial Analysis, Spatial Data Analysis, Bioinformatics, Extract, Transform, Load, Computer Programming
Stanford University
Skills you'll gain: Algorithms, Theoretical Computer Science, Computational Thinking, Computer Programming, Critical Thinking, Mathematics, Problem Solving, Computational Logic, Mathematical Theory & Analysis, Programming Principles
DeepLearning.AI
Skills you'll gain: Machine Learning, Machine Learning Algorithms, Regression, Applied Machine Learning, Algorithms, Statistical Machine Learning, Mathematics, Critical Thinking, Machine Learning Software, Python Programming
Johns Hopkins University
Skills you'll gain: Experiment
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
Imperial College London
Skills you'll gain: Algebra, Linear Algebra, Mathematics, Python Programming, Computer Programming, Machine Learning Algorithms, Problem Solving, Applied Machine Learning, Machine Learning, Probability & Statistics
DeepLearning.AI
Skills you'll gain: Machine Learning, Calculus, Differential Equations, Mathematics, Machine Learning Algorithms, Regression, Algebra, Algorithms, Artificial Neural Networks, General Statistics, Linear Algebra, Probability & Statistics, Statistical Analysis
- Status: Free
Korea Advanced Institute of Science and Technology(KAIST)
Skills you'll gain: Problem Solving, Critical Thinking, Spatial Analysis, Spatial Data Analysis, Scientific Visualization, Mergers & Acquisitions
In summary, here are 10 of our most popular regularization+techniques courses
- The Finite Element Method for Problems in Physics:Â University of Michigan
- Mathematics for Machine Learning:Â Imperial College London
- Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization:Â DeepLearning.AI
- Data Science: Foundations using R:Â Johns Hopkins University
- Neuroscience and Neuroimaging:Â Johns Hopkins University
- Divide and Conquer, Sorting and Searching, and Randomized Algorithms:Â Stanford University
- Supervised Machine Learning: Regression and Classification :Â DeepLearning.AI
- Fundamental Neuroscience for Neuroimaging:Â Johns Hopkins University
- Supervised Machine Learning: Regression:Â IBM
- Mathematics for Machine Learning: Linear Algebra:Â Imperial College London