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Computer Networking: A Top-Down Approach (7th Edition)
Computer Networking: A Top-Down Approach (7th Edition)
7th Edition
ISBN:9780133594140
Author:James Kurose, Keith Ross
Publisher:James Kurose, Keith Ross
Chapter1: Computer Networks And The Internet
Section: Chapter Questions
Problem R1RQ: What is the difference between a host and an end system? List several different types of end...
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Until now, the only sequence data we've covered has been text data, such as the IMDB dataset and the Reuters dataset. But sequence data is found in many more problems than just language processing. In all the examples in this section, you'll play with a weather timeseries dataset recorded at the Weather Station at the Max Planck Insti- tute for Biogeochemistry in Jena, Germany. In this dataset, 14 different quantities (such air temperature, atmospheric pres- sure, humidity, wind direction, and so on) were recorded every 10 minutes, over sev- eral years. The original data goes back to 2003, but this example is limited to data from 2009-2016. This dataset is perfect for learning to work with numerical timeseries. You'll use it to build a model that takes as input some data from the recent past (a few days' worth of data points) and predicts the air temperature 24 hours in the future. Download and uncompress the data as follows:
Transcribed Image Text:Until now, the only sequence data we've covered has been text data, such as the IMDB dataset and the Reuters dataset. But sequence data is found in many more problems than just language processing. In all the examples in this section, you'll play with a weather timeseries dataset recorded at the Weather Station at the Max Planck Insti- tute for Biogeochemistry in Jena, Germany. In this dataset, 14 different quantities (such air temperature, atmospheric pres- sure, humidity, wind direction, and so on) were recorded every 10 minutes, over sev- eral years. The original data goes back to 2003, but this example is limited to data from 2009-2016. This dataset is perfect for learning to work with numerical timeseries. You'll use it to build a model that takes as input some data from the recent past (a few days' worth of data points) and predicts the air temperature 24 hours in the future. Download and uncompress the data as follows:
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