[FreeCourseSite.com] Udemy - Hyperparameter Optimization for Machine Learning

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[FreeCourseSite.com] Udemy - Hyperparameter Optimization for Machine Learning

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收录时间：2022-01-13
最近下载：2025-10-09

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文件列表

  • 06 Bayesian Optimization/006 Sequential Model-Based Optimization.mp4 119.6 MB
  • 08 Scikit-Optimize/014 Optimizing parameters of a CNN.mp4 116.8 MB
  • 06 Bayesian Optimization/017 Scikit-Optimize - Neuronal Networks.mp4 116.8 MB
  • 07 Other SMBO Algorithms/002 SMAC Demo.mp4 104.4 MB
  • 06 Bayesian Optimization/013 Scikit-Optimize - 1-Dimension.mp4 101.9 MB
  • 06 Bayesian Optimization/008 Multivariate Gaussian Distribution.mp4 88.0 MB
  • 06 Bayesian Optimization/011 Acquisition Functions.mp4 86.3 MB
  • 05 Basic Search Algorithms/009 Random Search with Hyperopt.mp4 85.1 MB
  • 04 Cross-Validation/003 Cross-Validation Schemes.mp4 83.7 MB
  • 06 Bayesian Optimization/009 Gaussian Process.mp4 79.9 MB
  • 06 Bayesian Optimization/005 Bayes Rule.mp4 71.1 MB
  • 04 Cross-Validation/004 Cross-Validation for model error estimation - Demo.mp4 69.0 MB
  • 03 Performance metrics/005 Creating your Own Metrics.mp4 67.6 MB
  • 02 Hyperparameter Tuning - Overview/001 Parameters and Hyperparameters.mp4 65.3 MB
  • 01 Introduction/001 Introduction.mp4 64.7 MB
  • 05 Basic Search Algorithms/004 Grid Search - Demo.mp4 62.3 MB
  • 04 Cross-Validation/001 Cross-Validation.mp4 60.5 MB
  • 04 Cross-Validation/005 Cross-Validation for Hyperparameter Tuning - Demo.mp4 59.6 MB
  • 04 Cross-Validation/009 Nested Cross-Validation - Demo.mp4 58.0 MB
  • 02 Hyperparameter Tuning - Overview/002 Hyperparameter Optimization.mp4 53.3 MB
  • 07 Other SMBO Algorithms/007 TPE with Hyperopt.mp4 52.4 MB
  • 04 Cross-Validation/008 Nested Cross-Validation.mp4 52.3 MB
  • 05 Basic Search Algorithms/008 Random Search with Scikit-Optimize.mp4 50.7 MB
  • 06 Bayesian Optimization/004 Joint and Conditional Probabilities.mp4 48.4 MB
  • 03 Performance metrics/004 Scikit-learn Metrics.mp4 48.1 MB
  • 05 Basic Search Algorithms/007 Random Search - Scikit-learn.mp4 46.3 MB
  • 06 Bayesian Optimization/003 Bayesian Inference - Introduction.mp4 45.5 MB
  • 04 Cross-Validation/007 Group Cross-Validation - Demo.mp4 45.4 MB
  • 05 Basic Search Algorithms/002 Manual Search.mp4 45.2 MB
  • 03 Performance metrics/002 Classification Metrics (Optional).mp4 45.0 MB
  • 07 Other SMBO Algorithms/004 TPE Procedure.mp4 44.4 MB
  • 05 Basic Search Algorithms/006 Random Search.mp4 43.0 MB
  • 04 Cross-Validation/006 Special Cross-Validation Schemes.mp4 42.9 MB
  • 08 Scikit-Optimize/006 Random search.mp4 40.0 MB
  • 08 Scikit-Optimize/015 Analyzing the CNN search.mp4 38.9 MB
  • 06 Bayesian Optimization/018 Scikit-Optimize - CNN - Search Analysis.mp4 38.9 MB
  • 06 Bayesian Optimization/014 Scikit-Optimize - Manual Search.mp4 37.7 MB
  • 08 Scikit-Optimize/007 Bayesian search with Gaussian processes.mp4 36.9 MB
  • 01 Introduction/002 Course Curriculum.mp4 36.6 MB
  • 06 Bayesian Optimization/007 Gaussian Distribution.mp4 36.3 MB
  • 07 Other SMBO Algorithms/001 SMAC.mp4 34.2 MB
  • 06 Bayesian Optimization/015 Scikit-Optimize - Automatic Search.mp4 32.4 MB
  • 08 Scikit-Optimize/011 Bayesian search with Scikit-learn wrapper.mp4 32.4 MB
  • 06 Bayesian Optimization/001 Sequential Search.mp4 32.1 MB
  • 06 Bayesian Optimization/010 Kernels.mp4 31.8 MB
  • 08 Scikit-Optimize/010 Parallelizing a bayesian search.mp4 27.4 MB
  • 07 Other SMBO Algorithms/006 TPE - why tree-structured_.mp4 27.1 MB
  • 05 Basic Search Algorithms/001 Basic Search Algorithms - Introduction.mp4 26.7 MB
  • 08 Scikit-Optimize/012 Changing the kernel of a Gaussian Process.mp4 26.3 MB
  • 06 Bayesian Optimization/016 Scikit-Optimize - Alternative Kernel.mp4 26.2 MB
  • 08 Scikit-Optimize/001 Scikit-Optimize.mp4 26.0 MB
  • 08 Scikit-Optimize/003 Hyperparameter Distributions.mp4 25.3 MB
  • 07 Other SMBO Algorithms/005 TPE hyperparameters.mp4 24.4 MB
  • 08 Scikit-Optimize/009 Bayes search with GBMs.mp4 24.1 MB
  • 08 Scikit-Optimize/008 Bayes search with Random Forests.mp4 24.1 MB
  • 06 Bayesian Optimization/002 Bayesian Optimization.mp4 23.5 MB
  • 07 Other SMBO Algorithms/003 Tree-structured Parzen Estimators - TPE.mp4 20.2 MB
  • 05 Basic Search Algorithms/005 Grid Search with different hyperparameter spaces.mp4 19.3 MB
  • 03 Performance metrics/006 Using Scikit-learn Metrics.mp4 18.7 MB
  • 08 Scikit-Optimize/004 Defining the hyperparameter space.mp4 18.0 MB
  • 03 Performance metrics/003 Regression Metrics (Optional).mp4 17.4 MB
  • 05 Basic Search Algorithms/003 Grid Search.mp4 17.1 MB
  • 01 Introduction/003 Course aim and knowledge requirements.mp4 16.3 MB
  • 08 Scikit-Optimize/002 Section Content.mp4 13.1 MB
  • 08 Scikit-Optimize/005 Defining the objective function.mp4 11.1 MB
  • 01 Introduction/004 Course Material.mp4 10.6 MB
  • 03 Performance metrics/001 Introduction.mp4 6.1 MB
  • 06 Bayesian Optimization/006 Sequential Model-Based Optimization.en.srt 20.5 kB
  • 06 Bayesian Optimization/008 Multivariate Gaussian Distribution.en.srt 19.7 kB
  • 06 Bayesian Optimization/013 Scikit-Optimize - 1-Dimension.en.srt 19.2 kB
  • 06 Bayesian Optimization/017 Scikit-Optimize - Neuronal Networks.en.srt 18.8 kB
  • 08 Scikit-Optimize/014 Optimizing parameters of a CNN.en.srt 18.8 kB
  • 04 Cross-Validation/003 Cross-Validation Schemes.en.srt 17.2 kB
  • 06 Bayesian Optimization/009 Gaussian Process.en.srt 16.4 kB
  • 06 Bayesian Optimization/011 Acquisition Functions.en.srt 16.3 kB
  • 06 Bayesian Optimization/005 Bayes Rule.en.srt 14.3 kB
  • 07 Other SMBO Algorithms/002 SMAC Demo.en.srt 14.2 kB
  • 02 Hyperparameter Tuning - Overview/001 Parameters and Hyperparameters.en.srt 14.1 kB
  • 05 Basic Search Algorithms/009 Random Search with Hyperopt.en.srt 13.4 kB
  • 04 Cross-Validation/001 Cross-Validation.en.srt 11.7 kB
  • 03 Performance metrics/005 Creating your Own Metrics.en.srt 11.4 kB
  • 02 Hyperparameter Tuning - Overview/002 Hyperparameter Optimization.en.srt 11.1 kB
  • 04 Cross-Validation/004 Cross-Validation for model error estimation - Demo.en.srt 11.0 kB
  • 05 Basic Search Algorithms/004 Grid Search - Demo.en.srt 10.5 kB
  • 04 Cross-Validation/005 Cross-Validation for Hyperparameter Tuning - Demo.en.srt 10.0 kB
  • 05 Basic Search Algorithms/008 Random Search with Scikit-Optimize.en.srt 10.0 kB
  • 03 Performance metrics/002 Classification Metrics (Optional).en.srt 9.9 kB
  • 05 Basic Search Algorithms/006 Random Search.en.srt 9.7 kB
  • 07 Other SMBO Algorithms/004 TPE Procedure.en.srt 9.6 kB
  • 06 Bayesian Optimization/003 Bayesian Inference - Introduction.en.srt 9.5 kB
  • 05 Basic Search Algorithms/002 Manual Search.en.srt 9.4 kB
  • 06 Bayesian Optimization/004 Joint and Conditional Probabilities.en.srt 9.3 kB
  • 04 Cross-Validation/008 Nested Cross-Validation.en.srt 9.2 kB
  • 06 Bayesian Optimization/007 Gaussian Distribution.en.srt 8.9 kB
  • 04 Cross-Validation/006 Special Cross-Validation Schemes.en.srt 8.9 kB
  • 04 Cross-Validation/009 Nested Cross-Validation - Demo.en.srt 8.8 kB
  • 03 Performance metrics/004 Scikit-learn Metrics.en.srt 8.2 kB
  • 06 Bayesian Optimization/018 Scikit-Optimize - CNN - Search Analysis.en.srt 8.1 kB
  • 08 Scikit-Optimize/015 Analyzing the CNN search.en.srt 8.1 kB
  • 01 Introduction/002 Course Curriculum.en.srt 8.1 kB
  • 06 Bayesian Optimization/010 Kernels.en.srt 8.1 kB
  • 07 Other SMBO Algorithms/007 TPE with Hyperopt.en.srt 8.0 kB
  • 07 Other SMBO Algorithms/001 SMAC.en.srt 7.5 kB
  • 06 Bayesian Optimization/014 Scikit-Optimize - Manual Search.en.srt 7.4 kB
  • 06 Bayesian Optimization/001 Sequential Search.en.srt 7.2 kB
  • 08 Scikit-Optimize/001 Scikit-Optimize.en.srt 7.2 kB
  • 05 Basic Search Algorithms/007 Random Search - Scikit-learn.en.srt 7.0 kB
  • 08 Scikit-Optimize/007 Bayesian search with Gaussian processes.en.srt 6.9 kB
  • 05 Basic Search Algorithms/001 Basic Search Algorithms - Introduction.en.srt 6.7 kB
  • 08 Scikit-Optimize/006 Random search.en.srt 6.6 kB
  • 04 Cross-Validation/007 Group Cross-Validation - Demo.en.srt 6.5 kB
  • 06 Bayesian Optimization/002 Bayesian Optimization.en.srt 5.8 kB
  • 06 Bayesian Optimization/015 Scikit-Optimize - Automatic Search.en.srt 5.5 kB
  • 08 Scikit-Optimize/011 Bayesian search with Scikit-learn wrapper.en.srt 5.5 kB
  • 07 Other SMBO Algorithms/005 TPE hyperparameters.en.srt 5.4 kB
  • 08 Scikit-Optimize/003 Hyperparameter Distributions.en.srt 5.3 kB
  • 07 Other SMBO Algorithms/006 TPE - why tree-structured_.en.srt 4.9 kB
  • 06 Bayesian Optimization/016 Scikit-Optimize - Alternative Kernel.en.srt 4.6 kB
  • 08 Scikit-Optimize/012 Changing the kernel of a Gaussian Process.en.srt 4.6 kB
  • 05 Basic Search Algorithms/003 Grid Search.en.srt 4.6 kB
  • 01 Introduction/001 Introduction.en.srt 4.4 kB
  • 07 Other SMBO Algorithms/003 Tree-structured Parzen Estimators - TPE.en.srt 4.3 kB
  • 03 Performance metrics/003 Regression Metrics (Optional).en.srt 4.2 kB
  • 01 Introduction/009 FAQ.html 3.8 kB
  • 08 Scikit-Optimize/008 Bayes search with Random Forests.en.srt 3.8 kB
  • 08 Scikit-Optimize/009 Bayes search with GBMs.en.srt 3.8 kB
  • 08 Scikit-Optimize/010 Parallelizing a bayesian search.en.srt 3.4 kB
  • 08 Scikit-Optimize/004 Defining the hyperparameter space.en.srt 3.1 kB
  • 01 Introduction/003 Course aim and knowledge requirements.en.srt 3.0 kB
  • 05 Basic Search Algorithms/005 Grid Search with different hyperparameter spaces.en.srt 3.0 kB
  • 08 Scikit-Optimize/002 Section Content.en.srt 2.8 kB
  • 08 Scikit-Optimize/005 Defining the objective function.en.srt 2.6 kB
  • 03 Performance metrics/006 Using Scikit-learn Metrics.en.srt 2.5 kB
  • 01 Introduction/004 Course Material.en.srt 2.3 kB
  • 06 Bayesian Optimization/012 Additional Reading Resources.html 2.3 kB
  • 01 Introduction/005 Jupyter notebooks.html 1.8 kB
  • 01 Introduction/008 Set up your computer - required packages.html 1.7 kB
  • 09 Moving Forward/001 What's next_.html 1.6 kB
  • 03 Performance metrics/001 Introduction.en.srt 1.5 kB
  • 01 Introduction/007 Datasets.html 1.5 kB
  • 08 Scikit-Optimize/013 Optimizing xgboost.html 1.3 kB
  • 01 Introduction/006 Presentations.html 1.2 kB
  • 04 Cross-Validation/002 Bias vs Variance (Optional).html 1.1 kB
  • 0. Websites you may like/[FCS Forum].url 133 Bytes
  • 0. Websites you may like/[FreeCourseSite.com].url 127 Bytes
  • 0. Websites you may like/[CourseClub.ME].url 122 Bytes

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