Release 1.0.0 ยท nf-core/drugresponseeval

What's Changed Important! Template update for nf-core/tools v3.0.1 by @nf-core-bot in #10 Merge branch 'dev' of github.com:nf-core/drugresponseeval into dev by @JudithBernett in #11 Global checkpo...

GitHub

Discover how #HyperparameterTuning with #GridSearchCV can revolutionize your #TeslaStock predictions! This guide walks you through optimizing #MachineLearning models for more accurate forecasts. Boost your trading strategy with data-driven insights!

https://teguhteja.id/hyperparameter-tuning-for-tesla-stock-prediction-with-gridsearchcv/

Hyperparameter Tuning: Optimize Tesla Stock Predictions with GridSearchCV

Hyperparameter tuning optimizes Tesla stock predictions using GridSearchCV. Learn to enhance machine learning models for accurate forecasting

teguhteja.id
๐Ÿ“š Dive into an enlightening exploration of hyperparameter tuning in machine learning! Learn about optimization techniques, challenges, and best practices to boost your model's performance. ๐Ÿš€ Check it out: https://ak-codes.com/hyperparameter-tuning/ #MachineLearning #HyperparameterTuning
Navigating the Art of Hyperparameter Tuning - AK codes

Explore hyperparameter tuning in machine learning, techniques for optimization, challenges, and best practices to improve model performance.

AK codes
Dive into this fascinating example of transfer learning and hyperparameter tuning for image classification tasks! ๐Ÿ“ธ๐ŸŽ“ #MachineLearning #TransferLearning #HyperparameterTuning https://ak-codes.com/transfer-learning-example/
Transfer Learning And Hyperparameter Tuning Example - AK codes

Learn more about how to implement transfer learning and hyperparameter tuning in this example for a classification task using images.

AK codes

https://github.com/google-research/tuning_playbook

New initiative from Google research with the goal of formalizing the process of hyperparameter tuning in DL. Seems to be trending pretty hard (about 1.5k github stars in the last 8 hours alone).
I've been playing around with keras-tuner recently and have definitely felt the need for something similar to this to refer to for numerous decisions. Interesting to see where this goes.

#Google #deeplearning #dl #hyperparametertuning

GitHub - google-research/tuning_playbook: A playbook for systematically maximizing the performance of deep learning models.

A playbook for systematically maximizing the performance of deep learning models. - google-research/tuning_playbook

GitHub
heise+ | Kubeflow: Machine-Learning-Workflows orchestrieren

Kubeflow steuert Deployment-Pipelines fรผr ML-Software in Kubernetes-Clustern. Die Workflows sollen einfach, portabel und skalierbar sein. Kubeflow: Machine-Learning-Workflows orchestrieren
Kubeflow: Machine-Learning-Workflows orchestrieren

Kubeflow steuert Deployment-Pipelines fรผr ML-Software in Kubernetes-Clustern. Die Workflows sollen einfach, portabel und skalierbar sein.