Filter by
The language used throughout the course, in both instruction and assessments.
Results for "regularization+methods"
University of Colorado Boulder
Skills you'll gain: Estimation, Numerical Analysis, Engineering Calculations, Applied Mathematics, Mathematical Modeling, Engineering Analysis, Advanced Mathematics, Differential Equations, Physics
Wesleyan University
Skills you'll gain: Regression Analysis, Statistical Methods, Statistical Analysis, Statistical Modeling, Data Analysis, Correlation Analysis, SAS (Software), Scatter Plots, Statistical Programming, Statistical Hypothesis Testing
University of Toronto
Skills you'll gain: Bioinformatics, Network Analysis, Data Analysis, Big Data, Exploratory Data Analysis, Data Processing, Unsupervised Learning, Data Visualization Software, Data Access, Heat Maps
University of Illinois Urbana-Champaign
Skills you'll gain: Deep Learning, Generative AI, Applied Machine Learning, Machine Learning Methods, Image Analysis, Graph Theory, Network Analysis, Artificial Neural Networks, Machine Learning Software, Artificial Intelligence and Machine Learning (AI/ML), Computer Vision, Predictive Modeling, Technical Communication, Scientific Methods, Natural Language Processing, Data Synthesis, Python Programming
University of California, Irvine
Skills you'll gain: Predictive Modeling, Predictive Analytics, Classification And Regression Tree (CART), Regression Analysis, Decision Tree Learning, Statistical Modeling, Supervised Learning, Data Modeling, Data Analysis, Analytics, Descriptive Analytics, Forecasting, Machine Learning, Unsupervised Learning
University of Colorado Boulder
Skills you'll gain: Unsupervised Learning, Dimensionality Reduction, Machine Learning Algorithms, Data Science, Applied Machine Learning, Machine Learning, Scikit Learn (Machine Learning Library), Python Programming, Data Mining, Linear Algebra, Exploratory Data Analysis, Statistical Analysis
University of Colorado Boulder
Skills you'll gain: Statistical Modeling, R Programming, Data Analysis, Data Ethics, Statistical Methods, Regression Analysis, Mathematical Modeling, Machine Learning, Statistical Inference, Probability Distribution
- Status: Free
National Taiwan University
Skills you'll gain: Feature Engineering, Supervised Learning, Machine Learning Algorithms, Random Forest Algorithm, Deep Learning, Machine Learning, Applied Machine Learning, Decision Tree Learning, Artificial Neural Networks, Dimensionality Reduction, Regression Analysis
University of Washington
Skills you'll gain: Regression Analysis, Predictive Modeling, Supervised Learning, Statistical Modeling, Applied Machine Learning, Machine Learning Algorithms, Feature Engineering, Machine Learning, Statistical Methods, Dimensionality Reduction, Python Programming, Data Validation
DeepLearning.AI
Skills you'll gain: Tensorflow, Deep Learning, Keras (Neural Network Library), Artificial Neural Networks, Artificial Intelligence and Machine Learning (AI/ML), Network Model, Network Architecture, Machine Learning
University of Toronto
Skills you'll gain: Bioinformatics, Life Sciences, Network Analysis, Science and Research, Statistical Analysis
Imperial College London
Skills you'll gain: Regression Analysis, Calculus, Advanced Mathematics, Machine Learning Algorithms, Statistical Analysis, Linear Algebra, Artificial Neural Networks, Mathematical Modeling, Python Programming, Derivatives
In summary, here are 10 of our most popular regularization+methods courses
- Approximation Methods: University of Colorado Boulder
- Regression Modeling in Practice: Wesleyan University
- Bioinformatic Methods II: University of Toronto
- Advanced Deep Learning Methods for Healthcare: University of Illinois Urbana-Champaign
- Predictive Modeling, Model Fitting, and Regression Analysis: University of California, Irvine
- Unsupervised Algorithms in Machine Learning: University of Colorado Boulder
- Generalized Linear Models and Nonparametric Regression: University of Colorado Boulder
- 機器å¸ç¿’技法 (Machine Learning Techniques): National Taiwan University
- Machine Learning: Regression: University of Washington
- Custom Models, Layers, and Loss Functions with TensorFlow: DeepLearning.AI