Amazon SageMaker Fundamentals & Built-In Algorithms | Linear Learner, XGBoost & LightGB

This presentation focuses on Amazon SageMaker Fundamentals, Machine Learning Workflow, and Built-In Algorithms, core machine learning services provided by Amazon Web Services (AWS). It explains important concepts such as Amazon SageMaker Architecture, Machine Learning Workflow, SageMaker Input Modes, Linear Learner, XGBoost, and LightGBM algorithms. The presentation also demonstrates how Amazon SageMaker simplifies the end-to-end machine learning lifecycle by providing a fully managed environment for data preparation, model training, deployment, and monitoring. Additionally, it highlights how built-in algorithms help organizations develop accurate, scalable, and cost-effective machine learning solutions for regression, classification, predictive analytics, and other real-world business applications while leveraging AWS Cloud infrastructure. #AWS #AmazonSageMaker #MachineLearning #ArtificialIntelligence #AWSAI #LinearLearner #XGBoost #LightGBM #CloudComputing #AWSCertification #DataScience #PredictiveAnalytics #DeepLearning #AmazonWebServices #CloudTechnology #TechLearning #MachineLearningEngineer #AWSCloud #Innovation #AI