Filter by
The language used throughout the course, in both instruction and assessments.
Results for "regularization+methods"
Johns Hopkins University
Skills you'll gain: Regression Analysis, Statistical Analysis, Statistical Modeling, Correlation Analysis, Data Analysis, Statistical Methods, Predictive Modeling, Probability & Statistics, Statistical Inference, 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
Johns Hopkins University
Skills you'll gain: Regression Analysis, Statistical Modeling, R Programming, Linear Algebra, Data Science, Mathematical Modeling, Data Modeling, Predictive Modeling, Statistical Analysis, Applied Mathematics
Skills you'll gain: Image Analysis, Matlab, Computer Vision, Spatial Analysis, 3D Modeling, Visualization (Computer Graphics)
Coursera Project Network
Skills you'll gain: Matplotlib, Data Visualization, Seaborn, Exploratory Data Analysis, NumPy, Data Analysis, Jupyter, Machine Learning, Python Programming, Supervised Learning, Algorithms
The Hong Kong University of Science and Technology
Skills you'll gain: Matlab, Engineering Calculations, Numerical Analysis, Engineering Analysis, Linear Algebra, Differential Equations, Mathematical Modeling, Computational Thinking, Integral Calculus, Simulations, Scientific Visualization, Programming Principles, Algorithms, Debugging
Coursera Project Network
Skills you'll gain: PyTorch (Machine Learning Library), Image Analysis, Computer Vision, Applied Machine Learning, Deep Learning
Johns Hopkins University
Skills you'll gain: Regression Analysis, Linear Algebra, R Programming, Data Science, Probability Distribution, Statistical Modeling, Mathematical Modeling, Probability & Statistics, Applied Mathematics, Statistical Analysis, Statistics
Coursera Project Network
Skills you'll gain: Tensorflow, Keras (Neural Network Library), Test Data, Image Analysis, Computer Vision, Artificial Neural Networks, Deep Learning
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
Google Cloud
Skills you'll gain: Tensorflow, Performance Tuning, Artificial Neural Networks, Deep Learning, Feature Engineering, Dimensionality Reduction, Applied Machine Learning, Supervised Learning, Machine Learning, Regression Analysis, Google Cloud Platform
University of Minnesota
Skills you'll gain: Machine Learning Algorithms, Applied Machine Learning, Machine Learning, Dimensionality Reduction, Artificial Intelligence and Machine Learning (AI/ML), Algorithms, Linear Algebra
In summary, here are 10 of our most popular regularization+methods courses
- Regression Models: Johns Hopkins University
- Bioinformatic Methods II: University of Toronto
- Advanced Linear Models for Data Science 1: Least Squares: Johns Hopkins University
- Image Segmentation, Filtering, and Region Analysis: MathWorks
- Logistic Regression with NumPy and Python: Coursera Project Network
- Numerical Methods for Engineers: The Hong Kong University of Science and Technology
- Deep Learning with PyTorch : Object Localization: Coursera Project Network
- Advanced Linear Models for Data Science 2: Statistical Linear Models: Johns Hopkins University
- Object Localization with TensorFlow: Coursera Project Network
- Regression Modeling in Practice: Wesleyan University