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Results for "regularization+methods"
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
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, Probability & Statistics, Regression
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, Computational Thinking, Big Data, Data Mining, Data Visualization, Data Visualization Software, Databases, Extract, Transform, Load, Plot (Graphics), Communication, Computer Graphic Techniques, Computer Graphics, Interactive Data Visualization, Knitr, Visualization (Computer Graphics), User Experience
Skills you'll gain: Strategy, Communication, Leadership and Management, Business Analysis, Databases, Data Management, Database Administration, Data Analysis, Market Analysis, Machine Learning, Tensorflow, Cloud Computing, Cloud Platforms, Feature Engineering, Google Cloud Platform
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
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: Algebra, Linear Algebra, Machine Learning
University of Michigan
Skills you'll gain: Algebra, Continuous Integration, Critical Thinking, Problem Solving, Computer Programming
Johns Hopkins University
Johns Hopkins University
Skills you'll gain: Calculus, Mathematics
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: Calculus, Mathematics, Differential Equations, Algebra
In summary, here are 10 of our most popular regularization+methods courses
- Mathematics for Machine Learning and Data Science:Â DeepLearning.AI
- Mathematics for Machine Learning:Â Imperial College London
- Data Science: Foundations using R:Â Johns Hopkins University
- Machine Learning with TensorFlow on Google Cloud en Español: Google Cloud
- Neuroscience and Neuroimaging:Â Johns Hopkins University
- Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization:Â DeepLearning.AI
- Linear Algebra for Machine Learning and Data Science:Â DeepLearning.AI
- The Finite Element Method for Problems in Physics:Â University of Michigan
- Linear Algebra: Orthogonality and Diagonalization:Â Johns Hopkins University
- Calculus through Data & Modelling: Techniques of Integration:Â Johns Hopkins University