| 原文 | 译文 | 详情 |
|---|---|---|
| software engineers | 软件工程师 | - |
| real-time predictions | 实时数据预测 | - |
| incomplete understanding | 不完全的理解 | - |
| easily integrate | 轻松集成 | - |
| common hurdle revolves | 共同的障碍是围绕着 | - |
| larger time investment | 更大的投资时间 | - |
| data science process | 从数据到科学再到过程 | - |
| feature engineering | 功能和工程 | - |
| client applications | 客户端应用程序 | - |
| include low-hanging fruit | 包括一些容易挂起的水果 | - |
| sophisticated models | 复杂的电动汽车型号 | - |
| create understanding | 创造新的理解 | - |
| training data | 培训数据 | - |
| data science expertise | 数据、科学和专业知识 | - |
| enhance adoption | 提高用户采用率 | - |
| linear process | 线性加热法 | - |
| time ago | - | |
| stimulate collaboration | 促进全球合作 | - |
| source libraries | 源代码库 | - |
| previous sections | 前几个章节 | - |
| easily adapt | 轻松适应 | - |
| out-of-the-box models | 开箱即用的车型 | - |
| low-hanging fruit | 低垂的红果 | - |
| practical vision | 实用的商业愿景 | - |
| base model | 基本模型 | - |
| actual data scientists | 科学家提供的实际数据 | - |
| rarely mention training | 很少提到他们的培训 | - |
| final phase | 最后一个阶段 | - |
| data collected | 收集的数据 | - |
| larger scale | 更大的企业规模 | - |
| extracting data | 提取关键数据 | - |
| specific type | - | |
| basic understanding | - | |
| rich visuals | 丰富的视觉效果 | - |
| logical starting | 从逻辑上开始 | - |
| the technology | - | |
| biggest roadblock | 中国最大的障碍 | - |
| crucial step | 关键的一步 | - |
| business processes | 业务流程 | - |
| pre-built models | 预置的型号 | - |
| acquire data | 获取您的数据 | - |
| train multiple models | - | |
| business scenario | 业务运营场景 | - |
| book covers | - | |
| easy projects | - | |
| plotting time-series data | 绘制时间序列和数据图表 | - |
| options require | 选项需要 | - |
| data pipeline | - | |
| earlier sections | 之前的几个章节 | - |
| save time | 节省时间 | - |
| data analysts | 分析师的数据 | - |
| integrated models | 集成的模式 | - |
| services directed | 服务被定向 | - |
| finish training | - | |
| machine learning model | - | |
| users gain trust | 用户将获得更多信任 | - |
| created tools | 创建了新工具 | - |
| data orchestration pipeline | 数据编排和流水线 | - |
| facilitating collaboration | 促进全球协作 | - |
| data scientists | 科学家的数据 | - |
| lower levels | 较低的空气水平 | - |
| final option | 最终选择 | - |
| data science | 数据与科学 | - |
| enterprise environment | 企业与环境 | - |
| spend time | 花更多的时间 | - |
| create models | 创建新的模型 | - |
| data-driven decisions | 数据驱动的企业决策 | - |
| software vendor | 软件供应商 | - |
| compute power | 计算能力 | - |
| powerful compute | 强大的计算能力 | - |
| data engineers | 数据工程师 | - |
| interdisciplinary approach | 跨学科研究方法 | - |
| build trust | - | |
| specifically designed | 专门设计的 | - |
| batch analysis | 批次分析 | - |
| challenging phases | 具有挑战性的三个阶段 | - |
| slow adoption | - | |
| train models | 火车车模 | - |
| project starts | - | |
| deploy model based | 部署基于云的模型 | - |
| self-built models | 自建汽车模型 | - |
| collecting data | 收集相关数据 | - |
| citizen data scientist | 公民-数据-科学家 | - |
| technical reasons | 技术原因： | - |
| ll assume | 我会假设 | - |
| batch predictions | 批量预测 | - |
| training scripts | 培训和脚本 | - |
| users gain trust | - | |
| compute power | - | |
| challenging phases | - | |
| slow adoption | 采用速度缓慢 | - |
| self-built models | - | |
| training scripts | - | |
| source libraries | - | |
| easily adapt | - | |
| out-of-the-box models | - | |
| rarely mention training | - | |
| extracting data | - | |
| basic understanding | 基本的理解 | - |
| the technology | 最先进的技术 | - |
| train multiple models | 为多种车型开行培训 | - |
| book covers | 书籍和封面 | - |
| easy projects | 轻松完成项目 | - |
| data pipeline | 数据流水线 | - |
| finish training | 完成培训 | - |
| machine learning model | 机器学习模型 | - |
| citizen data scientist | - | |
| build trust | 建立互信 | - |
| project starts | 项目启动 | - |
| deploy model based | - | |
| technical reasons | - | |
| specifically designed | - | |
| actual data scientists | - | |
| larger scale | - | |
| acquire data | - | |
| interdisciplinary approach | - | |
| create models | - | |
| time ago | 时间很久以前了 | - |
| stimulate collaboration | - | |
| previous sections | - | |
| services directed | - | |
| created tools | - | |
| save time | - | |
| data engineers | - | |
| software vendor | - |
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