Explore a comprehensive overview of Angel 3.0, a full-stack machine learning platform, in this 41-minute conference talk by Fitz Wang from Tencent. Delve into the platform's architecture, key features, and real-world applications. Learn about auto feature engineering, Spark On Angel integration, hyperparameter tuning, and model serving capabilities. Discover how Angel 3.0 completes the machine learning pipeline with components like feature engineering, model training, and hyperparameter optimization. Gain insights into the platform's support for huge recommendation models, sparse input data, and cross-platform model serving. Understand the integration of PyTorch for gradient computation and Angel's parameter server for efficient parameter management. Explore graph embedding and GNN algorithms, as well as Spark 2.4 and Kubernetes adaptations. Examine practical use cases, including short video recommendations and financial anti-fraud applications at Tencent.