The process of constructing a knowledge graph is a continuous iterative process that combines human and machine efforts, primarily driven by machine learning, along with expert definitions and corrections. The work requiring human intervention includes schema definition, preparation of partially structured knowledge, and validation of machine learning results. Based on user feedback and the increase … Read more
Table of Contents Understanding Nearest Neighbor Classification Step 1: Collecting Data Step 2: Exploring and Preparing Data Step 3: Training the Model Based on Data Step 4: Evaluating Model Performance Step 5: Improving Model Performance Understanding Nearest Neighbor Classification Do you know how proteins, vegetables, and fruits are classified? In life, we find that things … Read more
Beginner: Jing, I recently heard that many companies are using Amazon SageMaker for machine learning projects. What exactly is this tool? Is it easy for beginners like us to get started? Jing: To address this question, let me explain in detail. Amazon SageMaker is a one-stop machine learning platform launched by Amazon. It’s like an … Read more