Posts

In this blog post, I explore the features and use cases of AWS SageMaker in the field of Machine Learning. Specifically, I focus on its capabilities that enable early deployment of ML models, significantly reducing the time to production. Discover how SageMaker simplifies the process of building, training, and deploying models, and learn about its standout features, such as infrastructure/resource management, experiment management, the SageMaker Python SDK, and more. Find out about the cost and learning curve associated with SageMaker, and gain insights into its competition with Google Cloud Datalab and Microsoft Azure Machine Learning Studio

Explore a conversation between a teacher and student as they delve into the world of Machine Learning.

Understand the concept of evaluation metrics in machine learning through this classroom conversation.

Understand the concept of data leakage and its challenges through this classroom conversation.

Understand the concept of class imbalance in machine learning and learn how to address it effectively.