Data Science Foundations Fundamentals- [UdemyCourseDownloader]
| 文件类型 | 收录时间 | 最后活跃 | 资源热度 | 文件大小 | 文件数量 |
|---|---|---|---|---|---|
| 视频 | 2019-10-12 15:50 | 2024-6-7 19:24 | 82 | 703.06 MB | 45 |
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文件列表
- 03 The Place of Data Science in the Data Universe/003 Deep learning neural networks.mp430.53MB
- 01 Introduction/001 The fundamentals of data science.mp411.81MB
- 02 What Is Data Science_/001 Supply and demand for data science.mp48.28MB
- 02 What Is Data Science_/002 The data science Venn diagram.mp48.64MB
- 02 What Is Data Science_/003 The data science pathway.mp423.22MB
- 02 What Is Data Science_/004 Roles and teams in data science.mp414.03MB
- 03 The Place of Data Science in the Data Universe/001 Artificial intelligence.mp429.55MB
- 03 The Place of Data Science in the Data Universe/002 Machine learning.mp429.96MB
- 03 The Place of Data Science in the Data Universe/004 Big data.mp414.91MB
- 03 The Place of Data Science in the Data Universe/005 Predictive analytics.mp412.04MB
- 03 The Place of Data Science in the Data Universe/006 Prescriptive analytics.mp413.98MB
- 03 The Place of Data Science in the Data Universe/007 Business intelligence.mp411.08MB
- 04 Ethics and Agency/001 Legal ethical and social issues of data science.mp412.59MB
- 04 Ethics and Agency/002 Agency of algorithms and decision-makers.mp412.62MB
- 05 Sources of Data/001 Data preparation.mp415MB
- 05 Sources of Data/002 In-house data.mp46.05MB
- 05 Sources of Data/003 Open data.mp420.52MB
- 05 Sources of Data/004 APIs.mp410.55MB
- 05 Sources of Data/005 Scraping data.mp429.71MB
- 05 Sources of Data/006 Creating data.mp414.73MB
- 05 Sources of Data/007 Passive collection of training data.mp413.21MB
- 05 Sources of Data/008 Self-generated data.mp413.97MB
- 06 Sources of Rules/001 The enumeration of explicit rules.mp412.66MB
- 06 Sources of Rules/002 The derivation of rules from data analysis.mp423.83MB
- 06 Sources of Rules/003 The generation of implicit rules.mp49.18MB
- 07 Tools for Data Science/001 Applications for data analysis.mp415.15MB
- 07 Tools for Data Science/002 Languages for data science.mp412.86MB
- 07 Tools for Data Science/003 Machine learning as a service.mp411.26MB
- 08 Mathematics for Data Science/001 Algebra.mp414.83MB
- 08 Mathematics for Data Science/002 Calculus.mp48.66MB
- 08 Mathematics for Data Science/003 Optimization and the combinatorial explosion.mp413.87MB
- 08 Mathematics for Data Science/004 Bayes theorem.mp410.58MB
- 09 Analyses for Data Science/001 Descriptive analyses.mp423.19MB
- 09 Analyses for Data Science/002 Predictive models.mp424.51MB
- 09 Analyses for Data Science/003 Trend analysis.mp419.19MB
- 09 Analyses for Data Science/004 Clustering.mp418.41MB
- 09 Analyses for Data Science/005 Classifying.mp413.01MB
- 09 Analyses for Data Science/006 Anomaly detection.mp418.19MB
- 09 Analyses for Data Science/007 Dimensionality reduction.mp419.46MB
- 09 Analyses for Data Science/008 Feature selection and creation.mp416.9MB
- 09 Analyses for Data Science/009 Validating models.mp418.2MB
- 09 Analyses for Data Science/010 Aggregating models.mp415.04MB
- 10 Acting on Data Science/001 Interpretability.mp49.3MB
- 10 Acting on Data Science/002 Actionable insights.mp48.24MB
- 11 Conclusion/001 Next steps.mp49.54MB
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