Description
Hyperparameter Optimization for Machine Learning is a training course on hyperparameter optimization in machine learning published by Yudemi Academy. This training course contains many topics, the most important of which are network search, random search, Bayesian optimization, multi-fidelity models, Optuna framework, Hyperopt library and Scikit-Optimize. And… pointed out. In this training course, you will get acquainted with various techniques for choosing the best and most optimal meta-parameters and you will be able to improve the performance of machine learning models as much as possible. There are different approaches for metaparameter optimization, and in this training course, you will get to know the advantages and disadvantages, as well as the functional considerations of each.
What you will learn in the Hyperparameter Optimization for Machine Learning course:
- Adjusting and optimizing the metaparameter and understanding its importance and why
- Cross-validation method
- Adjusting and optimizing the metaparameter with the methods of network search and random search
- Bayesian optimization
- Optimization approach Tree-Structured Parzen Estimators
- Training of population-based artificial neural networks (Population Based Training)
- Libraries and frameworks Hyperopt ,Optuna ,Scikit-optimize And Keras Turner
Course details
Publisher: Yudmi
teacher: Soledad Galli
English language
Education level: Intermediate
Number of courses: 94
Training duration: 9 hours and 26 minutes
Course topics in 2022/3
Prerequisites for Hyperparameter Optimization for Machine Learning course
Python programming, including knowledge of NumPy, Pandas and Scikit-learn
Familiarity with basic machine learning algorithms, ie, regression, support vector machines and nearest neighbors
Familiarity with decision tree algorithms and random forests
Familiarity with gradient boosting machines, ie, xgboost, lightGBMs
Understanding of machine learning model evaluation metrics
Familiarity with Neuronal Networks
Course images
Introduction video of Hyperparameter Optimization for Machine Learning course
Installation guide
After Extract, view with your favorite Player.
English subtitle
Quality: 720p
download link
Password file(s): www.downloadly.ir
Size
3.29 GB
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