领域
Machine Learning & AI
技能档案
此技能定义了各角色和级别的期望。
角色数
1
包含此技能的角色
级别数
5
结构化成长路径
必要要求
0
其余 5 个可选
Machine Learning & AI
Classical Machine Learning
2026/2/22
选择当前级别并对比期望。下方卡片显示晋升所需掌握的内容。
表格展示从初级到首席的技能深度变化。点击行查看详情。
| 角色 | 必要性 | 描述 |
|---|---|---|
| Data Scientist | Conducts descriptive statistics and basic statistical data analysis. Calculates measures of central tendency, variance, and correlations. Builds confidence intervals and conducts basic statistical tests via scipy.stats. |
| 角色 | 必要性 | 描述 |
|---|---|---|
| Data Scientist | Applies advanced statistical analysis: regression analysis, ANOVA, non-parametric tests, survival analysis. Conducts power analysis for experiment planning. Uses statsmodels for regression and time series decomposition. |
| 角色 | 必要性 | 描述 |
|---|---|---|
| Data Scientist | Designs statistical frameworks for data science teams. Applies advanced methods: causal inference, mixed effects models, GAMs. Conducts simulation studies for methodology validation. Establishes statistical rigor standards for ML research. |
| 角色 | 必要性 | 描述 |
|---|---|---|
| Data Scientist | Defines statistical analysis standards for the organization. Establishes guidelines for applying statistical methods to different business tasks. Coordinates statistical consulting for product and data science teams. |
| 角色 | 必要性 | 描述 |
|---|---|---|
| Data Scientist | Shapes statistical thinking culture at organizational level. Defines strategy for applying statistical methods to business decision-making. Publishes methodological works, trains the organization in statistical literacy. |