January 2019
Intermediate to advanced
390 pages
9h 16m
English
Content preview from Hands-On Artificial Intelligence for IoT
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Electrical power output prediction using regression
Now that you've understood the basics of linear regression, let's use it to predict the electrical power output of a combined cycle power plant. We described this dataset in Chapter 1, Principles and Foundations of AI and IoT; here, we'll use TensorFlow and its automatic gradient to find the solution. The dataset can be downloaded from the UCI ML archive (http://archive.ics.uci.edu/ml/datasets/combined+cycle+power+plant). The complete code is available on GitHub (https://github.com/PacktPublishing/Hands-On-Artificial-Intelligence-for-IoT) under the filename ElectricalPowerOutputPredictionUsingRegression.ipynb.
Let's understand the execution of code in the following steps:
- We import tensorflow ...
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