种子简介
种子名称：
[UdemyCourseDownloader] Machine Learning and AI Foundations Predictive Modeling Strategy at Scale
文件类型：
视频
文件数目：
31个文件
文件大小：
163.85 MB
收录时间：
2018-12-31 10:09
已经下载：
3次
资源热度：
162
最近下载：
2024-5-25 07:41
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种子包含的文件
[UdemyCourseDownloader] Machine Learning and AI Foundations Predictive Modeling Strategy at Scale.torrent
29 - What is model monitoring.mp411.12MB
01 - Scaling machine learning initiatives.mp46.18MB
02 - Defining terms.mp43.46MB
03 - Data and supervised machine learning.mp43.72MB
04 - The nine big data bottlenecks.mp45.86MB
05 - The stages of predictive analytics data.mp46.6MB
06 - Why you might have too little data.mp42.78MB
07 - How much data do I need.mp43.76MB
08 - Balancing.mp43.22MB
09 - Who truly has big data.mp46.38MB
10 - Assessing data.mp48.89MB
11 - Selecting Data that should be left out.mp43.49MB
12 - Seasonality and time alignment.mp46.93MB
13 - Data and the data scientist.mp47.92MB
14 - Aggregate and restructure.mp43.42MB
15 - Dummy coding.mp43.1MB
16 - Feature engineering.mp44.21MB
17 - Understanding the modeling process.mp44.68MB
18 - Slow algorithms Brute force.mp42.91MB
19 - Slow algorithms More calculations.mp43.03MB
20 - Slow algorithms More models.mp43.65MB
21 - How to sample properly.mp44.19MB
22 - Modeling with missing data.mp48.33MB
23 - Scoring traditional ML models.mp44.84MB
24 - Scoring a black box model.mp47.99MB
25 - Scoring an ensemble.mp44.44MB
26 - Batch vs. real-time scoring.mp49.51MB
27 - Data prep and scoring.mp44.74MB
28 - Combining batch and real-time scoring.mp43.84MB
30 - How often should you rebuild.mp48.95MB
31 - Next steps.mp41.71MB
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