PinnedSeda SezginMaking Practical Decisions with ML PredictionsAn understanding of how predictions be used in different ways. This reading will review examples that can help you make business decisions…Jul 26, 2023Jul 26, 2023
PinnedSeda SezginStrengths and Weaknesses of Your ModelTo help you decide if your model is accurate enough to help you make decisions, this reading will review how you can evaluate model…Jul 26, 2023Jul 26, 2023
PinnedSeda SezginMachine Learning Concepts IIRegression & Classification Machine Learning.Dec 15, 2022Dec 15, 2022
PinnedSeda SezginMachine Learning Concepts ISupervised Machine Learning vs Unsupervised Machine Learning.Dec 13, 2022Dec 13, 2022
Seda SezginFeature Engineering & Variable TransformationVariable selection involves choosing the set of the features to include in the model.Aug 30Aug 30
Seda SezginDefining AI, ML, DLWhat is artificial intelligence? What is machine learning? What is deep learning? Let’s begin by defining some terminology.Aug 18, 2023Aug 18, 2023
Seda SezginFine-Tuning BERT Model for Question Answering & Deploying on Amazon SageMakerLet us fine tune the Bert model to do well on the question answering task on the squad data set.Aug 17, 2023Aug 17, 2023
Seda SezginDeep Learning for Computer Vision on SageMaker Notebook (Lab)Welcome to the Computer Vision Exercise!Aug 14, 2023Aug 14, 2023
Seda SezginXGBoostXGBoost is an open-source software library that implements optimized distributed gradient boosting machine learning algorithms under the…Aug 12, 2023Aug 12, 2023