Udemy - Accelerate Hyperparameter Tuning with Multifidelity Models
- CategoryOther
- TypeTutorials
- LanguageEnglish
- Total size434.2 MB
- Uploaded Byfreecoursewb
- Downloads10
- Last checkedSep. 27th '26
- Date uploadedSep. 27th '26
- Seeders 3
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Infohash : C587DDCAA12194EA52A75989DC0CE204C8528D62
Accelerate Hyperparameter Tuning with Multifidelity Models
https://WebToolTip.com
Published 9/2026
Created by Soledad Galli, Train in Data Team
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Level: Intermediate | Genre: eLearning | Language: English + subtitle | Duration: 9 Lectures ( 1h 5m ) | Size: 434.2 MB
Use successive halving in scikit-learn to allocate resources progressively and find strong configurations more efficient
What you'll learn
âš¡ Explain how multi-fidelity optimization and successive halving work
âš¡ Combine successive halving with Grid Search and Random Search
âš¡ Configure resource budgets, reduction factors, and candidate allocation
âš¡ Analyze successive-halving results and select strong configurations
âš¡ - Build resource-efficient hyperparameter tuning workflows for tabular models
Requirements
â— Basic knowledge of Python and common machine learning workflows
â— Familiarity with hyperparameters, cross-validation, Grid Search, and Random Search
â— Some experience with scikit-learn and tabular machine learning models
Files:
[ WebToolTip.com ] Udemy - Accelerate Hyperparameter Tuning with Multifidelity Models- Get Bonus Downloads Here.url (0.2 KB) ~Get Your Files Here ! 1 - Optuna
- 1. Multi-fidelity Optimization.mp4 (90.7 MB)
- 1. Multi-fidelity Optimization_en-US.srt (12.4 KB)
- 2. Course materials.html (6.5 KB)
- 3. Successive Halving.mp4 (74.6 MB)
- 3. Successive Halving_en-US.srt (15.2 KB)
- 4. Successive Halving Demo.mp4 (147.1 MB)
- 4. Successive Halving Demo_en-US.srt (19.3 KB)
- 5. Hyperband.mp4 (85.8 MB)
- 5. Hyperband_en-US.srt (23.4 KB)
- 6. Asynchronous Successive Halving.mp4 (35.9 MB)
- 6. Asynchronous Successive Halving_en-US.srt (11.3 KB)
- 7. Additional reading resources.html (6.2 KB)
- 8. Congrats and time to celebrate!.html (6.1 KB)
- 9. Bonus lecture.html (6.1 KB)
- Bonus Resources.txt (0.1 KB)
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