Phase I - Build
The first step is figuring out the problem that needs to be solved and then defining and developing an MVP to begin the process of learning as quickly as possible:
- Ideate: Develop your idea or concept. Identify what the problem that needs solving is in very clear terms.
- Create your prototype: Think simple and small. It's best to build the smallest possible increment that quickly brings back enough validation to inform next steps.
- Define an experiment/test study to prove your hypothesis: Create question sets, consider A/B tests, and task analysis.
推薦閱讀
- 公有云容器化指南:騰訊云TKE實戰與應用
- 數據庫基礎與應用:Access 2010
- 新型數據庫系統:原理、架構與實踐
- Access 2007數據庫應用上機指導與練習
- R數據科學實戰:工具詳解與案例分析(鮮讀版)
- ZeroMQ
- INSTANT Apple iBooks How-to
- 數據科學實戰指南
- Google Cloud Platform for Developers
- 信息融合中估計算法的性能評估
- Oracle 內核技術揭密
- Artificial Intelligence for Big Data
- Practical Convolutional Neural Networks
- 數據產品經理寶典:大數據時代如何創造卓越產品
- 數據中心UPS系統運維