Results for "approximation+error"
Status: Free TrialJohns Hopkins University
Skills you'll gain: Integral Calculus, Numerical Analysis, Calculus, Probability, Applied Mathematics, Advanced Mathematics, Geometry, Mathematical Modeling
Status: Free TrialUniversity of Alberta
Skills you'll gain: Reinforcement Learning, Sampling (Statistics), Machine Learning Algorithms, Simulations, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning, Algorithms, Probability Distribution
Skills you'll gain: Microsoft Excel, Excel Formulas, Spreadsheet Software, Microsoft 365, Data Analysis Expressions (DAX), Analysis
Skills you'll gain: Regression Analysis, Visualization (Computer Graphics), Scikit Learn (Machine Learning Library), Feature Engineering, Data Cleansing, Predictive Modeling, Data Analysis, Statistical Modeling, Supervised Learning, Machine Learning, Python Programming
Status: Free TrialDeepLearning.AI
Skills you'll gain: Tensorflow, Deep Learning, Performance Tuning, Machine Learning Methods, Data Preprocessing, Artificial Neural Networks, Model Evaluation, Verification And Validation
Status: Free TrialUniversity of Toronto
Skills you'll gain: Global Positioning Systems, Estimation, Robotics, Deep Learning, Machine Learning Methods, Computer Vision, Control Systems, Mathematical Modeling, Applied Mathematics, Linear Algebra
Status: Free TrialUniversity of Colorado Boulder
Skills you'll gain: Regression Analysis, Supervised Learning, Model Evaluation, Logistic Regression, Statistical Analysis, Data Analysis, Statistical Modeling, Predictive Modeling, Machine Learning Methods, Feature Engineering, Data Preprocessing, Exploratory Data Analysis
Status: PreviewLudwig-Maximilians-Universität München (LMU)
Skills you'll gain: Finite Element Methods, Numerical Analysis, Engineering Analysis, Jupyter, Engineering Calculations, Differential Equations, Applied Mathematics, Mathematical Modeling, Distributed Computing, Python Programming, Mechanics, Vibrations, Simulations
Status: PreviewKorea Advanced Institute of Science and Technology(KAIST)
Skills you'll gain: Integral Calculus, Calculus, Advanced Mathematics, Materials science, Applied Mathematics, Engineering Analysis, Mathematical Modeling, Differential Equations, Derivatives
Status: FreeDeepLearning.AI
Skills you'll gain: PyTorch (Machine Learning Library), Model Evaluation
Status: Free TrialJohns 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, Statistical Inference
Status: Free TrialJohns Hopkins University
Skills you'll gain: PyTorch (Machine Learning Library), Convolutional Neural Networks, Deep Learning, Supervised Learning, Artificial Neural Networks, Model Evaluation, Decision Tree Learning, Network Planning And Design, Machine Learning, Computer Vision
In summary, here are 10 of our most popular approximation+error courses
- Calculus through Data & Modelling: Techniques of Integration:Â Johns Hopkins University
- Sample-based Learning Methods:Â University of Alberta
- Data calculations in Microsoft Excel:Â Coursera
- Simple Linear Regression for the Absolute Beginner:Â Coursera
- Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization:Â DeepLearning.AI
- State Estimation and Localization for Self-Driving Cars:Â University of Toronto
- Regression Analysis:Â University of Colorado Boulder
- Computers, Waves, Simulations: A Practical Introduction to Numerical Methods using Python: Ludwig-Maximilians-Universität München (LMU)
- Applied Math for Materials Science and Engineering:Â Korea Advanced Institute of Science and Technology(KAIST)
- Quantization in Depth:Â DeepLearning.AI
