ECE 695E Data Analysis, Design of Experiment, Machine Learning Lecture 1: Where do Data Come From?

ECE 695E Data Analysis, Design of Experiment, ML Lecture 14: Physics-based Machine LearningПодробнее

ECE 695E Data Analysis, Design of Experiment, ML Lecture 9B: DOE Analysis by ANOVAПодробнее

ECE 695E Data Analysis, Design of Experiment, ML Lecture 13: Deep LearningПодробнее

ECE 695E Data Analysis, Design of Experiment, ML Lecture 12: Basics of Machine LearningПодробнее

ECE 695E Data Analysis, Design of Experiment, ML Lecture 15: Conclusions and OutlookПодробнее

ECE 695E Data Analysis, Design of Experiment, ML Lecture 8: Statistical Design of ExperimentsПодробнее

ECE 695E Data Analysis, Design of Experiment, ML Lecture 10: Principal Component AnalysisПодробнее

ECE 695E Data Analysis, Design of Experiment, ML Lecture 9A: DOE and Taguchi ExperimentsПодробнее

ECE 695E Data Analysis, Design of Experiment, ML Lecture 3: Physical and Empirical DistributionsПодробнее

ECE 695E Data Analysis, Design of Experiment, ML Lecture 7: Bootstrap, Cross-ValidationПодробнее

ECE 695E Data Analysis, Design of Experiment, ML Lecture 6: Equation-free Scaling Theory for DOEПодробнее

ECE 695E Data Analysis, Design of Experiment, ML Lecture 2: Collecting and Plotting DataПодробнее

ECE 695E Data Analysis, Design of Experiment, ML Lecture 5: DOE Scaling of Theory of EquationsПодробнее

ECE 695E Data Analysis, Design of Experiment, ML Lecture 4: Model Selection and Goodness of FitПодробнее