December 2018
Intermediate to advanced
764 pages
18h 18m
English
book
Python: Advanced Guide to Artificial Intelligence
by Giuseppe Bonaccorso, Armando Fandango, Rajalingappaa Shanmugamani
Content preview from Python: Advanced Guide to Artificial Intelligence
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MLP for time series regression
We have seen examples of classification for image data; now let's look at regression for time series data. We shall build and use MLP for a smaller univariate time series dataset known as the international airline passengers dataset. This dataset contains the total number of passengers over the years. The dataset is available at the following links:
- https://www.kaggle.com/andreazzini/international-airline-passengers/data
- https://datamarket.com/data/set/22u3/international-airline-passengers-monthly-totals-in-thousands-jan-49-dec-60
Let us start by preparing our dataset.
- First, load the dataset using the following code:
filename = os.path.join(datasetslib.datasets_root, 'ts-data', 'international-airline-passengers-cleaned.csv') ...
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O’Reilly covers everything we've got, with content to help us build a world-class technology community, upgrade the capabilities and competencies of our teams, and improve overall team performance as well as their engagement.Julian F.
I wanted to learn C and C++, but it didn't click for me until I picked up an O'Reilly book. When I went on the O’Reilly platform, I was astonished to find all the books there, plus live events and sandboxes so you could play around with the technology.Addison B.
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I'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.