Tag
machine-learning
Classification, Regression, Ranking, and Clustering
Choose an AI task by its required output. Work through ticket routing, handling-time estimates, review priorities, and similarity groups with a verified NumPy example.
Training, Inference, and Deployment
Follow a fitted email classifier from training data to a versioned release, and learn how prediction, evaluation, and deployment differ.
Discriminative and Generative Models
Learn what each model represents, derive a generative classifier step by step, and verify the probabilities with NumPy.
How AI, Machine Learning, and Deep Learning Fit Together
Understand the relationship between AI, machine learning, and deep learning through one concrete email-filtering system.
From Rule-Based Systems to Machine Learning
Learn what a model learns, how training differs from prediction, and why lower training error needs an independent test.
Design a Multi-Modal Content Moderation Platform
A low-latency publishing gate, asynchronous video analysis, versioned policy decisions, human review, and reliable enforcement at scale.
Design a User Behavior Data and Feature Platform
From mobile events to trustworthy sessions, funnels, offline training data, and fresh online model features.