Download Udemy – Hyperparameter Optimization for Machine Learning 2021-5

Hyperparameter Optimization for Machine Learning

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

Hyperparameter Optimization for Machine Learning

Introduction video of Hyperparameter Optimization for Machine Learning course

Installation guide

After Extract, view with your favorite Player.

English subtitle

Quality: 720p

download link

Download part 1 – 1 GB

Download part 2 – 1 GB

Download part 3 – 1 GB

Download part 4 – 291 MB

Password file(s): www.downloadly.ir

Size

3.29 GB

4.2/5 – (1313 points)

Be the first to comment

Leave a Reply

Your email address will not be published.


*