描述
该资源使用的语言为英文
Development environments might not have the exact requirements as production environments. Moving data science and machine learning projects from idea to production requires state-of-the-art skills. You need to architect and implement your projects for scale and operational efficiency. Data science is an interdisciplinary field that combines domain knowledge with mathematics, statistics, data visualization, and programming skills.
The Practical Data Science Specialization brings together these disciplines using purpose-built ML tools in the AWS cloud. It helps you develop the practical skills to effectively deploy your data science projects and overcome challenges at each step of the ML workflow using Amazon SageMaker.
Data Scientist包含的课程CourseraDeepLearning.AIFree
1. Analyze Datasets and Train ML Models using AutoML
19 小时 
先进的
15075CourseraDeepLearning.AIFree
2. Build, Train, and Deploy ML Pipelines using BERT
14 小时
先进的
6743CourseraDeepLearning.AI
19 小时
先进的
15075
14 小时
先进的
6743