Filter by
The language used throughout the course, in both instruction and assessments.
Results for "regularization+methods"
University of Colorado System
Skills you'll gain: Matlab, Estimation, Engineering Calculations, Numerical Analysis, Performance Tuning, Mathematical Modeling, Simulation and Simulation Software, Differential Equations, Engineering Analysis, System Implementation, Probability Distribution
- Status: Free
DeepLearning.AI
Skills you'll gain: PyTorch (Machine Learning Library), Quantitative Research, Numerical Analysis, Open Source Technology
Skills you'll gain: Supervised Learning, Data Modeling, Applied Machine Learning, Data Analysis, Regression Analysis, Unsupervised Learning, Classification And Regression Tree (CART), Machine Learning Algorithms, Data Science, Machine Learning, Predictive Modeling, Data Mining, Random Forest Algorithm, Bayesian Statistics
Coursera Project Network
Skills you'll gain: Scikit Learn (Machine Learning Library), Predictive Modeling, Regression Analysis, Machine Learning Algorithms, Applied Machine Learning, Python Programming, Machine Learning, Random Forest Algorithm
Northeastern University
Skills you'll gain: Linear Algebra, Statistical Machine Learning, Statistical Modeling, Probability, Probability & Statistics, Data Validation, Statistical Methods, Bayesian Statistics, Probability Distribution, Mathematical Modeling, General Mathematics, Machine Learning, Applied Mathematics, Algorithms, Statistical Inference, Advanced Mathematics, Verification And Validation, Dimensionality Reduction
Skills you'll gain: Unsupervised Learning, Dimensionality Reduction, Supervised Learning, Applied Machine Learning, R Programming, Feature Engineering, Machine Learning, Data Science, Classification And Regression Tree (CART), Ggplot2, Random Forest Algorithm, Exploratory Data Analysis, Data Processing, Statistical Programming, Predictive Modeling, Data Manipulation, Data Structures
University of Colorado Boulder
Skills you'll gain: Regression Analysis, Supervised Learning, Scikit Learn (Machine Learning Library), Statistical Analysis, Data Analysis, Statistical Modeling, Predictive Modeling, Machine Learning, Feature Engineering
Sungkyunkwan University
Skills you'll gain: Regression Analysis, Predictive Analytics, Predictive Modeling, Investment Management, Risk Analysis, Investments, R Programming, Statistical Methods, Machine Learning, Statistical Analysis, Financial Analysis, Applied Machine Learning, Financial Data, Data Manipulation, Algorithms
- Status: Free
Northeastern University
Skills you'll gain: Supervised Learning, Statistical Machine Learning, Machine Learning Algorithms, Unsupervised Learning, Machine Learning Methods, PyTorch (Machine Learning Library), Applied Machine Learning, Statistical Methods, Statistical Modeling, Machine Learning, Machine Learning Software, Deep Learning, Artificial Intelligence and Machine Learning (AI/ML), Regression Analysis, Algorithms, Predictive Modeling, Dimensionality Reduction
University of Glasgow
Skills you'll gain: Matlab, Artificial Neural Networks, Machine Learning Methods, Applied Machine Learning, Machine Learning, Data Processing, Machine Learning Algorithms, Supervised Learning, Data Quality, Classification And Regression Tree (CART), Predictive Modeling, Regression Analysis
University of Colorado System
Skills you'll gain: Statistical Software, Marketing Analytics, Regression Analysis, Statistical Modeling, Data Visualization, Data Presentation, Statistical Methods, Statistical Analysis, Advanced Analytics, Customer Analysis, Strategic Marketing, Market Analysis, Marketing, Marketing Effectiveness, Predictive Analytics, Marketing Strategies, Predictive Modeling, Customer Insights, Statistical Hypothesis Testing, A/B Testing
Skills you'll gain: Regression Analysis, Data Cleansing, R Programming, Data Manipulation, Statistical Analysis, Advanced Analytics, Statistical Machine Learning, Classification And Regression Tree (CART), Random Forest Algorithm, Data Transformation, Statistical Modeling, Exploratory Data Analysis, Applied Machine Learning, Feature Engineering, Predictive Modeling, Dimensionality Reduction
In summary, here are 10 of our most popular regularization+methods courses
- Nonlinear Kalman Filters (and Parameter Estimation): University of Colorado System
- Quantization in Depth: DeepLearning.AI
- Supervised Learning Regression Classification Clustering: Simplilearn
- Scikit-Learn to Solve Regression Machine Learning Problems: Coursera Project Network
- Foundations of Statistical Learning & Algorithms: Northeastern University
- Clustering and Classification with Machine Learning in R: Packt
- Regression Analysis: University of Colorado Boulder
- Using R for Regression and Machine Learning in Investment: Sungkyunkwan University
- Machine Learning for Engineers: Algorithms and Applications: Northeastern University
- Machine Learning and its Applications: University of Glasgow