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TensorFlow: Powerful Predictive Analytics with TensorFlow

You're reading from   TensorFlow: Powerful Predictive Analytics with TensorFlow Predict valuable insights of your data with TensorFlow

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Product type Paperback
Published in Mar 2018
Publisher Packt
ISBN-13 9781789136913
Length 164 pages
Edition 1st Edition
Languages
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Author (1):
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Md. Rezaul Karim Md. Rezaul Karim
Author Profile Icon Md. Rezaul Karim
Md. Rezaul Karim
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Table of Contents (6) Chapters Close

Supervised Learning for Predictive Analytics

Depending on the nature of the learning feedback available, the machine learning process is typically classified into three broad categories: supervised learning, unsupervised learning, and reinforcement learning—see figure 1. A predictive model based on supervised learning algorithms can make predictions based on a labelled dataset that map inputs to outputs aligning with the real world.

For example, a dataset for spam filtering usually contains spam messages as well as not-spam messages. Therefore, we could know which messages in the training set are spam and which are ham. Nevertheless, we might have the opportunity to use this information to train our model in order to classify new unseen messages:

Supervised Learning for Predictive Analytics

Figure 1: Machine learning tasks (containing a few algorithms only)

The following figure shows the schematic diagram of supervised learning. After the algorithm has found the required patterns, those patterns can be used to make predictions...

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