Pramod KumarHandling False Positives in Model Outputs: Building Inference InsightsAs I continue my journey towards transitioning into a Data Science Manager, I’ve been diving deep into the challenges of machine learning…Oct 3
InKinomoto.Mag AIbyUri ItaiCalibration: Why Model Scores Aren’t Probabilities and How to Generate Them?Some years ago, I was part of a machine learning consulting team assigned to a project for an insurance firm. Our task was to deploy a…Mar 46
Hamdi BoukamchaFine-Tuning a ResNet18 Model with Optuna: Hyperparameter OptimizationDeep learning models are powerful tools, but achieving optimal performance requires careful tuning of hyperparameters. This task can be…Aug 12Aug 12
Hrishikesh ReleFine-tuning model using Recursive Feature Elimination (RFE)Introduction In Machine learning, we fine tune our base model to improve the accuracy and overall output of the model. There are multiple…Sep 241Sep 241
Balaji NalawadeThe Essential Guide to K-Fold Cross-Validation in Machine LearningMachine learning models thrive on data — more specifically, on their ability to learn from this data. However, the true test of a model’s…Mar 19Mar 19
Pramod KumarHandling False Positives in Model Outputs: Building Inference InsightsAs I continue my journey towards transitioning into a Data Science Manager, I’ve been diving deep into the challenges of machine learning…Oct 3
InKinomoto.Mag AIbyUri ItaiCalibration: Why Model Scores Aren’t Probabilities and How to Generate Them?Some years ago, I was part of a machine learning consulting team assigned to a project for an insurance firm. Our task was to deploy a…Mar 46
Hamdi BoukamchaFine-Tuning a ResNet18 Model with Optuna: Hyperparameter OptimizationDeep learning models are powerful tools, but achieving optimal performance requires careful tuning of hyperparameters. This task can be…Aug 12
Hrishikesh ReleFine-tuning model using Recursive Feature Elimination (RFE)Introduction In Machine learning, we fine tune our base model to improve the accuracy and overall output of the model. There are multiple…Sep 241
Balaji NalawadeThe Essential Guide to K-Fold Cross-Validation in Machine LearningMachine learning models thrive on data — more specifically, on their ability to learn from this data. However, the true test of a model’s…Mar 19
Cankat SaraçUnderstanding Gradient Descent: A Key to Optimizing Machine Learning ModelsIn the realm of machine learning, the precision with which we can fine-tune the coefficients of our model’s variables is paramount. This…Apr 14
Dr. Sandeep Singh Sandha, PhDFine-Tuning Deep Learning Models with Low-Rank Adaptation (LORA): using Google ColabWelcome to an exciting journey through the world of model fine-tuning using Low-Rank Adaptation (LORA), a novel technique designed for the…Feb 25
