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83 results for "coding the matrix"
Johns Hopkins University
Skills you'll gain: General Statistics, Probability & Statistics, Linear Algebra, Mathematics, Regression, Algebra, Correlation And Dependence
Imperial College London
Skills you'll gain: Deep Learning, Machine Learning, Artificial Neural Networks, Applied Machine Learning, Python Programming, Tensorflow
University of Colorado System
Skills you'll gain: Data Management, Data Warehousing, Databases, SQL, Data Analysis
University of Michigan
Skills you'll gain: Computational Thinking, Python Programming
Skills you'll gain: Cloud API, Cloud Infrastructure, DevOps, Javascript, Leadership and Management, Performance Management, Software Testing
Skills you'll gain: Javascript, Software Testing
Skills you'll gain: Computer Vision, Deep Learning, Matlab
Johns Hopkins University
Skills you'll gain: General Statistics, Probability & Statistics, Linear Algebra, Mathematics, Algebra, Regression
University of Colorado Boulder
Skills you'll gain: SAS (Software), Statistical Programming, Data Analysis, Data Mining, Machine Learning, Probability & Statistics, Regression, Statistical Analysis, Statistical Machine Learning
University of Colorado Boulder
Skills you'll gain: Dimensionality Reduction
Illinois Tech
In summary, here are 10 of our most popular coding the matrix courses
- Advanced Linear Models for Data Science 1: Least Squares:Â Johns Hopkins University
- Customising your models with TensorFlow 2:Â Imperial College London
- Relational Database Support for Data Warehouses:Â University of Colorado System
- Python Fundamentals for Designers:Â University of Michigan
- Software Engineering Tools and Practices:Â Codio
- Software Testing for Developers:Â Codio
- Advanced Deep Learning Techniques for Computer Vision:Â MathWorks
- Advanced Linear Models for Data Science 2: Statistical Linear Models:Â Johns Hopkins University
- Supervised Text Classification for Marketing Analytics:Â University of Colorado Boulder
- Predictive Modeling with Logistic Regression using SAS :Â SAS