Filter by
The language used throughout the course, in both instruction and assessments.
100 results for "introduction to power electronics"
Duke University
Skills you'll gain: Big Data, Data Warehousing, Python Programming
University of Rochester
University of California San Diego
Skills you'll gain: Computer Programming, Mathematics
University of Colorado Boulder
Skills you'll gain: Machine Learning, Statistical Machine Learning, Machine Learning Algorithms, Python Programming, Probability & Statistics, Statistical Programming, Regression, Data Analysis, Applied Machine Learning, Statistical Tests
University of Colorado Boulder
Imperial College London
Skills you'll gain: Deep Learning, Machine Learning, Artificial Neural Networks, Applied Machine Learning, Python Programming, Tensorflow
Duke University
Skills you'll gain: Bayesian Statistics, General Statistics, Probability & Statistics, Statistical Analysis, Probability Distribution, Bayesian Network, R Programming, Statistical Programming, Statistical Tests
Vanderbilt University
Skills you'll gain: Computer Programming, Other Programming Languages, Algorithms, Theoretical Computer Science, Matlab
- Status: Free
École Polytechnique
Johns Hopkins University
Skills you'll gain: Leadership and Management, Change Management, Project Management
University of Minnesota
Skills you'll gain: Compensation, Human Resources, Leadership and Management
In summary, here are 10 of our most popular introduction to power electronics courses
- Spark, Hadoop, and Snowflake for Data Engineering:Â Duke University
- Introduction to Translational Science:Â University of Rochester
- Learn to Teach Java: Boolean Expressions, If Statements, and Iteration:Â University of California San Diego
- Introduction to Machine Learning: Supervised Learning:Â University of Colorado Boulder
- Nanophotonics and Detectors:Â University of Colorado Boulder
- Customising your models with TensorFlow 2:Â Imperial College London
- Bayesian Statistics:Â Duke University
- Mastering Programming with MATLAB:Â Vanderbilt University
- Mécanique quantique: École Polytechnique
- Leading Change in Health Informatics:Â Johns Hopkins University