- Machine Learning for Developers
- Rodolfo Bonnin
- 60字
- 2021-07-02 15:46:47
Events
In order to understand probabilities, we first need to define events. An event is, given an experiment in which we perform a determined action with different possible results, a subset of all the possible outcomes for that experiment.
Examples of events are a particular dice number appearing, and a product defect of particular type appearing on an assembly line.
推薦閱讀
- Kibana Essentials
- LabVIEW 2018 虛擬儀器程序設計
- C/C++算法從菜鳥到達人
- Mastering Kali Linux for Web Penetration Testing
- Python機器學習實戰
- HTML5 and CSS3 Transition，Transformation，and Animation
- Mastering AndEngine Game Development
- JavaScript+Vue+React全程實例
- WordPress 4.0 Site Blueprints（Second Edition）
- 常用工具軟件立體化教程（微課版）
- Learning Docker Networking
- Python Interviews
- Mastering AWS Security
- Mastering OAuth 2.0
- C++17 By Example