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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, Algorithms, Applied Machine Learning, Differential Equations, Problem Solving, Statistical Analysis, Data Visualization, Dimensionality Reduction, Statistical Programming, 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 Structures, Statistical Analysis, Critical Thinking, Problem Solving, General 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: Data Analysis, Probability & Statistics, Statistical Analysis, General Statistics, Research and Design, Data Visualization, Experiment, Process Analysis, Spatial Analysis, Spatial Data Analysis
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
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: 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
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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
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
Coursera Project Network
Skills you'll gain: Deep Learning
DeepLearning.AI
Skills you'll gain: Algebra, Linear Algebra, Machine Learning
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
- Principles of fMRI 1:Â Johns Hopkins University
- Mathematics for Machine Learning and Data Science:Â DeepLearning.AI
- Supervised Machine Learning: Regression and Classification :Â DeepLearning.AI
- Neuroscience and Neuroimaging:Â Johns Hopkins University
- MRI Fundamentals:Â Korea Advanced Institute of Science and Technology(KAIST)
- Divide and Conquer, Sorting and Searching, and Randomized Algorithms:Â Stanford University