Time series forecasting

磁力链接/BT种子名称

Time series forecasting

磁力链接/BT种子简介

种子哈希：2cff91c77ce02b48443456bc43ea694ce1581ebc
文件大小：547.98M
已经下载：1940次
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收录时间：2024-09-17
最近下载：2026-04-16
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文件列表

  • 1. Introduction/4. Model walkthrough.mp4 52.6 MB
  • 2. Batch Systems/6. Advantages and disadvantages of batch forecasting.mp4 47.2 MB
  • 5. Evaluating Time Series Forecasting Systems/1. Evaluating forecasting models.mp4 44.2 MB
  • 5. Evaluating Time Series Forecasting Systems/2. Best practices for retraining time series models.mp4 43.8 MB
  • 2. Batch Systems/2. Getting started with batch features in Codespaces.mp4 43.4 MB
  • 2. Batch Systems/4. Training our model to predict.mp4 37.9 MB
  • 2. Batch Systems/1. What are batch features.mp4 32.3 MB
  • 2. Batch Systems/3. Building a store for batch features.mp4 27.2 MB
  • 3. Near Real-Time Systems/9. Solution- Feature Y.mp4 20.6 MB
  • 3. Near Real-Time Systems/3. Recalculating features.mp4 16.0 MB
  • 2. Batch Systems/8. Solution- Feature X.mp4 15.3 MB
  • 2. Batch Systems/5. Making predictions with our model.mp4 15.1 MB
  • 4. Real-Time Systems/4. Online features.mp4 14.2 MB
  • 4. Real-Time Systems/3. Streaming datasets.mp4 13.6 MB
  • 4. Real-Time Systems/2. Requirements of real-time forecasting systems.mp4 12.8 MB
  • 4. Real-Time Systems/8. Advantages and disadvantages of real-time forecasting.mp4 12.4 MB
  • 1. Introduction/2. What you should know.mp4 11.8 MB
  • 4. Real-Time Systems/1. What are real-time forecasting systems.mp4 11.8 MB
  • 4. Real-Time Systems/5. Online prediction.mp4 11.1 MB
  • 3. Near Real-Time Systems/2. Requirements for near real-time forecasting systems_1.mp4 10.1 MB
  • 3. Near Real-Time Systems/7. Advantages and disadvantages of near real-time_1.mp4 9.1 MB
  • 3. Near Real-Time Systems/6. End-to-end example.mp4 8.2 MB
  • 1. Introduction/3. GitHub Codespaces.mp4 8.0 MB
  • 4. Real-Time Systems/6. End-to-end example.mp4 7.6 MB
  • 3. Near Real-Time Systems/4. Frequency considerations.mp4 7.2 MB
  • 3. Near Real-Time Systems/5. Online prediction.mp4 6.4 MB
  • 3. Near Real-Time Systems/1. What are near real-time systems_1.mp4 6.2 MB
  • 4. Real-Time Systems/9. Challenge- Feature Z.mp4 5.3 MB
  • 4. Real-Time Systems/10. Solution- Feature Z.mp4 5.2 MB
  • 3. Near Real-Time Systems/8. Challenge- Feature Y.mp4 5.0 MB
  • 6. Conclusion/1. Next steps for AI forecasting.mp4 3.9 MB
  • 1. Introduction/1. Introduction.mp4 3.6 MB
  • 4. Real-Time Systems/7. Real-time forecasting and latency considerations.mp4 3.0 MB
  • 2. Batch Systems/7. Challenge- Feature X.mp4 2.3 MB
  • 2. Batch Systems/2. Getting started with batch features in Codespaces.srt 21.5 kB
  • 2. Batch Systems/4. Training our model to predict.srt 19.6 kB
  • 2. Batch Systems/3. Building a store for batch features.srt 13.4 kB
  • 3. Near Real-Time Systems/9. Solution- Feature Y.srt 9.6 kB
  • 4. Real-Time Systems/2. Requirements of real-time forecasting systems.srt 8.5 kB
  • 2. Batch Systems/8. Solution- Feature X.srt 8.3 kB
  • 1. Introduction/4. Model walkthrough.srt 8.2 kB
  • 4. Real-Time Systems/8. Advantages and disadvantages of real-time forecasting.srt 8.2 kB
  • 5. Evaluating Time Series Forecasting Systems/2. Best practices for retraining time series models.srt 8.0 kB
  • 2. Batch Systems/6. Advantages and disadvantages of batch forecasting.srt 8.0 kB
  • 2. Batch Systems/5. Making predictions with our model.srt 7.9 kB
  • 5. Evaluating Time Series Forecasting Systems/1. Evaluating forecasting models.srt 7.4 kB
  • 4. Real-Time Systems/1. What are real-time forecasting systems.srt 7.3 kB
  • 3. Near Real-Time Systems/3. Recalculating features.srt 7.3 kB
  • 4. Real-Time Systems/3. Streaming datasets.srt 7.0 kB
  • 4. Real-Time Systems/4. Online features.srt 6.4 kB
  • 3. Near Real-Time Systems/2. Requirements for near real-time forecasting systems_1.srt 6.0 kB
  • 4. Real-Time Systems/5. Online prediction.srt 5.5 kB
  • 2. Batch Systems/1. What are batch features.srt 5.4 kB
  • 3. Near Real-Time Systems/7. Advantages and disadvantages of near real-time_1.srt 5.2 kB
  • 3. Near Real-Time Systems/1. What are near real-time systems_1.srt 4.7 kB
  • 1. Introduction/3. GitHub Codespaces.srt 4.7 kB
  • 3. Near Real-Time Systems/6. End-to-end example.srt 4.0 kB
  • 3. Near Real-Time Systems/4. Frequency considerations.srt 3.8 kB
  • 4. Real-Time Systems/6. End-to-end example.srt 3.8 kB
  • 1. Introduction/2. What you should know.srt 3.5 kB
  • 3. Near Real-Time Systems/5. Online prediction.srt 3.1 kB
  • 4. Real-Time Systems/9. Challenge- Feature Z.srt 2.6 kB
  • 6. Conclusion/1. Next steps for AI forecasting.srt 2.5 kB
  • 4. Real-Time Systems/10. Solution- Feature Z.srt 2.5 kB
  • 4. Real-Time Systems/7. Real-time forecasting and latency considerations.srt 2.5 kB
  • 3. Near Real-Time Systems/8. Challenge- Feature Y.srt 2.1 kB
  • 1. Introduction/1. Introduction.srt 1.3 kB
  • 2. Batch Systems/7. Challenge- Feature X.srt 1.2 kB

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