[UdemyCourseDownloader] Machine Learning and AI Foundations Predictive Modeling Strategy at Scale

Torrent Hash:
FA243F5243C3C87ACE6875365DD884A44D3F5D6C
Number of Files:
64
Content Size:
163.99MB
Convert On:
2020-08-23
Magnet Link:
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File Name
Size
29 - What is model monitoring.mp4
11.12MB
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01 - Scaling machine learning initiatives.mp4
6.18MB
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02 - Defining terms.en.srt
3.13KB
02 - Defining terms.mp4
3.46MB
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03 - Data and supervised machine learning.en.srt
3.65KB
03 - Data and supervised machine learning.mp4
3.72MB
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04 - The nine big data bottlenecks.en.srt
6.44KB
04 - The nine big data bottlenecks.mp4
5.86MB
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05 - The stages of predictive analytics data.en.srt
5.06KB
05 - The stages of predictive analytics data.mp4
6.6MB
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06 - Why you might have too little data.en.srt
2.89KB
06 - Why you might have too little data.mp4
2.78MB
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07 - How much data do I need.en.srt
3.72KB
07 - How much data do I need.mp4
3.76MB
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08 - Balancing.en.srt
3.31KB
08 - Balancing.mp4
3.22MB
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09 - Who truly has big data.en.srt
5.94KB
09 - Who truly has big data.mp4
6.38MB
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10 - Assessing data.en.srt
5.93KB
10 - Assessing data.mp4
8.89MB
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11 - Selecting Data that should be left out.en.srt
3.65KB
11 - Selecting Data that should be left out.mp4
3.49MB
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12 - Seasonality and time alignment.en.srt
7.01KB
12 - Seasonality and time alignment.mp4
6.93MB
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13 - Data and the data scientist.en.srt
4.69KB
13 - Data and the data scientist.mp4
7.92MB
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14 - Aggregate and restructure.en.srt
3.43KB
14 - Aggregate and restructure.mp4
3.42MB
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15 - Dummy coding.en.srt
3.7KB
15 - Dummy coding.mp4
3.1MB
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16 - Feature engineering.en.srt
4.97KB
16 - Feature engineering.mp4
4.21MB
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17 - Understanding the modeling process.en.srt
5.25KB
17 - Understanding the modeling process.mp4
4.68MB
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18 - Slow algorithms Brute force.en.srt
3.16KB
18 - Slow algorithms Brute force.mp4
2.91MB
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19 - Slow algorithms More calculations.en.srt
2.81KB
19 - Slow algorithms More calculations.mp4
3.03MB
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20 - Slow algorithms More models.en.srt
3.97KB
20 - Slow algorithms More models.mp4
3.65MB
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21 - How to sample properly.en.srt
4.34KB
21 - How to sample properly.mp4
4.19MB
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22 - Modeling with missing data.en.srt
5.99KB
22 - Modeling with missing data.mp4
8.33MB
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23 - Scoring traditional ML models.en.srt
5.04KB
23 - Scoring traditional ML models.mp4
4.84MB
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24 - Scoring a black box model.en.srt
5.12KB
24 - Scoring a black box model.mp4
7.99MB
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25 - Scoring an ensemble.en.srt
3.1KB
25 - Scoring an ensemble.mp4
4.44MB
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26 - Batch vs. real-time scoring.en.srt
7.86KB
26 - Batch vs. real-time scoring.mp4
9.51MB
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27 - Data prep and scoring.en.srt
5.38KB
27 - Data prep and scoring.mp4
4.74MB
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28 - Combining batch and real-time scoring.en.srt
2.94KB
28 - Combining batch and real-time scoring.mp4
3.84MB
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29 - What is model monitoring.en.srt
7.37KB
01 - Scaling machine learning initiatives.en.srt
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30 - How often should you rebuild.en.srt
6.99KB
30 - How often should you rebuild.mp4
8.95MB
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
31 - Next steps.en.srt
1.61KB
31 - Next steps.mp4
1.71MB
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Udemy Course downloader.txt
94B
udemycoursedownloader.com.url
132B

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