Hyperparameter Optimization for Machine Learning | E4212AF849E28F20B19D6AE5025E0057494D2F2F

Hyperparameter Optimization for Machine Learning

Name	Hyperparameter Optimization for Machine Learning	DOWNLOAD Copy Link Trouble downloading? see How To
Total Size	3.1 GB
Total Files	211
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Hash	E4212AF849E28F20B19D6AE5025E0057494D2F2F

/.../06 Bayesian Optimization/
006 Sequential Model-Based Optimization.mp4	119.6 MB

TutsNode.com.txt	0.1 KB
[TGx]Downloaded from torrentgalaxy.to .txt	0.6 KB
/.../06 Bayesian Optimization/
006 Sequential Model-Based Optimization.en.srt	20.5 KB
008 Multivariate Gaussian Distribution.en.srt	19.7 KB
013 Scikit-Optimize - 1-Dimension.en.srt	19.2 KB
017 Scikit-Optimize - Neuronal Networks.en.srt	18.8 KB
009 Gaussian Process.en.srt	16.4 KB
011 Acquisition Functions.en.srt	16.3 KB
005 Bayes Rule.en.srt	14.3 KB
003 Bayesian Inference - Introduction.en.srt	9.5 KB
004 Joint and Conditional Probabilities.en.srt	9.3 KB
007 Gaussian Distribution.en.srt	8.9 KB
018 Scikit-Optimize - CNN - Search Analysis.en.srt	8.1 KB
010 Kernels.en.srt	8.1 KB
014 Scikit-Optimize - Manual Search.en.srt	7.4 KB
001 Sequential Search.en.srt	7.2 KB
002 Bayesian Optimization.en.srt	5.8 KB
015 Scikit-Optimize - Automatic Search.en.srt	5.5 KB
016 Scikit-Optimize - Alternative Kernel.en.srt	4.6 KB
012 Additional Reading Resources.html	2.3 KB
017 Scikit-Optimize - Neuronal Networks.mp4	116.8 MB
013 Scikit-Optimize - 1-Dimension.mp4	101.9 MB
008 Multivariate Gaussian Distribution.mp4	88.0 MB
011 Acquisition Functions.mp4	86.3 MB
009 Gaussian Process.mp4	79.9 MB
005 Bayes Rule.mp4	71.1 MB
004 Joint and Conditional Probabilities.mp4	48.4 MB
003 Bayesian Inference - Introduction.mp4	45.5 MB
018 Scikit-Optimize - CNN - Search Analysis.mp4	38.9 MB
014 Scikit-Optimize - Manual Search.mp4	37.7 MB
007 Gaussian Distribution.mp4	36.3 MB
015 Scikit-Optimize - Automatic Search.mp4	32.4 MB
001 Sequential Search.mp4	32.1 MB
010 Kernels.mp4	31.8 MB
016 Scikit-Optimize - Alternative Kernel.mp4	26.2 MB
002 Bayesian Optimization.mp4	23.5 MB
/01 Introduction/
003 Course aim and knowledge requirements.en.srt	3.0 KB
004 Course Material.en.srt	2.3 KB
005 Jupyter notebooks.html	1.8 KB
006 Presentations.html	1.2 KB
007 Datasets.html	1.5 KB
008 Set up your computer - required packages.html	1.7 KB
002 Course Curriculum.en.srt	8.1 KB
001 Introduction.en.srt	4.4 KB
009 FAQ.html	3.8 KB
001 Introduction.mp4	64.7 MB
002 Course Curriculum.mp4	36.6 MB
003 Course aim and knowledge requirements.mp4	16.3 MB
004 Course Material.mp4	10.6 MB
/.../08 Scikit-Optimize/
014 Optimizing parameters of a CNN.en.srt	18.8 KB
015 Analyzing the CNN search.en.srt	8.1 KB
001 Scikit-Optimize.en.srt	7.2 KB
007 Bayesian search with Gaussian processes.en.srt	6.9 KB
006 Random search.en.srt	6.6 KB
011 Bayesian search with Scikit-learn wrapper.en.srt	5.5 KB
003 Hyperparameter Distributions.en.srt	5.3 KB
012 Changing the kernel of a Gaussian Process.en.srt	4.6 KB
008 Bayes search with Random Forests.en.srt	3.8 KB
009 Bayes search with GBMs.en.srt	3.8 KB
010 Parallelizing a bayesian search.en.srt	3.4 KB
004 Defining the hyperparameter space.en.srt	3.1 KB
002 Section Content.en.srt	2.8 KB
005 Defining the objective function.en.srt	2.6 KB
013 Optimizing xgboost.html	1.3 KB
014 Optimizing parameters of a CNN.mp4	116.8 MB
006 Random search.mp4	40.0 MB
015 Analyzing the CNN search.mp4	38.9 MB
007 Bayesian search with Gaussian processes.mp4	36.9 MB
011 Bayesian search with Scikit-learn wrapper.mp4	32.4 MB
010 Parallelizing a bayesian search.mp4	27.4 MB
012 Changing the kernel of a Gaussian Process.mp4	26.3 MB
001 Scikit-Optimize.mp4	26.0 MB
003 Hyperparameter Distributions.mp4	25.3 MB
009 Bayes search with GBMs.mp4	24.1 MB
008 Bayes search with Random Forests.mp4	24.1 MB
004 Defining the hyperparameter space.mp4	18.0 MB
002 Section Content.mp4	13.1 MB
005 Defining the objective function.mp4	11.1 MB
/.../04 Cross-Validation/
003 Cross-Validation Schemes.en.srt	17.2 KB
001 Cross-Validation.en.srt	11.7 KB
004 Cross-Validation for model error estimation - Demo.en.srt	11.0 KB
005 Cross-Validation for Hyperparameter Tuning - Demo.en.srt	10.0 KB
002 Bias vs Variance (Optional).html	1.1 KB
008 Nested Cross-Validation.en.srt	9.2 KB
006 Special Cross-Validation Schemes.en.srt	8.9 KB
009 Nested Cross-Validation - Demo.en.srt	8.8 KB
007 Group Cross-Validation - Demo.en.srt	6.5 KB
003 Cross-Validation Schemes.mp4	83.7 MB
004 Cross-Validation for model error estimation - Demo.mp4	69.0 MB
001 Cross-Validation.mp4	60.5 MB
005 Cross-Validation for Hyperparameter Tuning - Demo.mp4	59.6 MB
009 Nested Cross-Validation - Demo.mp4	58.0 MB
008 Nested Cross-Validation.mp4	52.3 MB
007 Group Cross-Validation - Demo.mp4	45.4 MB
006 Special Cross-Validation Schemes.mp4	42.9 MB
/.../07 Other SMBO Algorithms/
002 SMAC Demo.en.srt	14.2 KB
004 TPE Procedure.en.srt	9.6 KB
007 TPE with Hyperopt.en.srt	8.0 KB
001 SMAC.en.srt	7.5 KB
005 TPE hyperparameters.en.srt	5.4 KB
006 TPE - why tree-structured_.en.srt	4.9 KB
003 Tree-structured Parzen Estimators - TPE.en.srt	4.3 KB
002 SMAC Demo.mp4	104.4 MB
007 TPE with Hyperopt.mp4	52.4 MB
004 TPE Procedure.mp4	44.4 MB
001 SMAC.mp4	34.2 MB
006 TPE - why tree-structured_.mp4	27.1 MB
005 TPE hyperparameters.mp4	24.4 MB
003 Tree-structured Parzen Estimators - TPE.mp4	20.2 MB
/.../02 Hyperparameter Tuning - Overview/
001 Parameters and Hyperparameters.en.srt	14.1 KB
002 Hyperparameter Optimization.en.srt	11.1 KB
001 Parameters and Hyperparameters.mp4	65.3 MB
002 Hyperparameter Optimization.mp4	53.3 MB
/.../03 Performance metrics/
001 Introduction.en.srt	1.5 KB
005 Creating your Own Metrics.en.srt	11.4 KB
002 Classification Metrics (Optional).en.srt	9.9 KB
006 Using Scikit-learn Metrics.en.srt	2.5 KB
004 Scikit-learn Metrics.en.srt	8.2 KB
003 Regression Metrics (Optional).en.srt	4.2 KB
005 Creating your Own Metrics.mp4	67.6 MB
004 Scikit-learn Metrics.mp4	48.1 MB
002 Classification Metrics (Optional).mp4	45.0 MB
006 Using Scikit-learn Metrics.mp4	18.7 MB
003 Regression Metrics (Optional).mp4	17.4 MB
001 Introduction.mp4	6.1 MB
/.../05 Basic Search Algorithms/
009 Random Search with Hyperopt.en.srt	13.4 KB
004 Grid Search - Demo.en.srt	10.5 KB
008 Random Search with Scikit-Optimize.en.srt	10.0 KB
006 Random Search.en.srt	9.7 KB
002 Manual Search.en.srt	9.4 KB
007 Random Search - Scikit-learn.en.srt	7.0 KB
001 Basic Search Algorithms - Introduction.en.srt	6.7 KB
005 Grid Search with different hyperparameter spaces.en.srt	3.0 KB
003 Grid Search.en.srt	4.6 KB
009 Random Search with Hyperopt.mp4	85.1 MB
004 Grid Search - Demo.mp4	62.3 MB
008 Random Search with Scikit-Optimize.mp4	50.7 MB
007 Random Search - Scikit-learn.mp4	46.3 MB
002 Manual Search.mp4	45.2 MB
006 Random Search.mp4	43.0 MB
001 Basic Search Algorithms - Introduction.mp4	26.7 MB
005 Grid Search with different hyperparameter spaces.mp4	19.3 MB
003 Grid Search.mp4	17.1 MB
/.../09 Moving Forward/
001 What's next_.html	1.6 KB
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Total files 211