Ai/Ml

Understanding Different Classification Loss Function Types in Machine Learning In machine learning, classification problems are quite common and central to many applications. The purpose of a classification problem is to predict discrete class labels, such as detecting if an email is spam or not, identifying the species of a flower based on measurements, or recognizing handwritten digits. While designing a classification model, a key part to consider is the choice of the loss function, which measures how well the model’s predictions align with the true values....

Azure Applied AI Services Azure Metrics Advisor Analyze your business performance data and detect anomalies. Azure Cognitive Search Enrich data in your search indexes by using AI to analyze vision, language, and speech in content. Azure Immersive Reader Improve access to your web applications for new readers, language learners, and people with learning differences, such as dyslexia. Azure Bot Service Create bots that can converse with your customers and partners and respond to their queries....

Azure - AutoML Process Process Prepare data Train model Evaluate performance Deploy a predictive service Prepare Data Import data from Azure storage Local files SQL databases Web files Azure Open Datasets Train model Classification (predicting categories or classes) Regression (predicting numeric values ) Time series forecasting (predicting numeric values at a future point in time) Natural language processing Computer vision Evaluate performance Cross validation RMSE (Root Mean Squared Error) NRMSE (Normalized Root Mean Squared Error) Residual History Predicted vs True chart Deploy Azure Container Instances (ACI) Azure Kubernetes Service (AKS)

(YAST) A Guide to Passing the Microsoft AI-102 Certification How to lean for it.. Hello everyone, Embarking on a journey to get certified can sometimes feel like a daunting endeavor. But worry not! This guide will share the most effective strategy I discovered for passing the Microsoft AI-102 Certification — most effective at least for my way of learning… Why This Guide? Everyone has their unique learning style. For me, it’s through reading and hands-on practice rather than video lectures....