AWS Machine Learning – Specialty

AWS Machine Learning – Specialty

AWS Machine Learning – Specialty

Intro do Machine Learning Concepts

ML Definition : A computer program is said to learn from experience E with respect to some class of tasks T and performance measure P, if its performance at ask in T, as measured by P, improves with experience E

ML apply to many business use cases :

Industry : * Recomendation * Demand forecast * Computer Vision * Fraud Detection * Medical Diagosis * Stock Market Forecasting * Sentiment Analysis

Types: * Supervised : classification and regression * Unsupervised : clustering, anomaly detection, association discovery

ML Algorithms * Logistic Regression : Binary classification * Decision Trees * Naive Bayes : Probability based

Domain

Domain 1 : Data Engineering create repo, data-ingestion, data-transformation Domain 2 : Exploratory Data Analysis prep data for modelin, feature engineering, and data viz for ML Domain 3 : Modeling frame business problem as ML problems, select model, train ML, perform hyperparamter optimization, evaluate model Domain 4 : ML Implementation and Operations build and deploy ML solutions