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Hands-On Predictive Analytics with Python

You're reading from   Hands-On Predictive Analytics with Python Master the complete predictive analytics process, from problem definition to model deployment

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Product type Paperback
Published in Dec 2018
Publisher Packt
ISBN-13 9781789138719
Length 330 pages
Edition 1st Edition
Languages
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Author (1):
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Alvaro Fuentes Alvaro Fuentes
Author Profile Icon Alvaro Fuentes
Alvaro Fuentes
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Table of Contents (11) Chapters Close

Preface 1. The Predictive Analytics Process FREE CHAPTER 2. Problem Understanding and Data Preparation 3. Dataset Understanding – Exploratory Data Analysis 4. Predicting Numerical Values with Machine Learning 5. Predicting Categories with Machine Learning 6. Introducing Neural Nets for Predictive Analytics 7. Model Evaluation 8. Model Tuning and Improving Performance 9. Implementing a Model with Dash 10. Other Books You May Enjoy

Introducing Neural Nets for Predictive Analytics

In the last two chapters, we have presented some of the most basic and popular models for regression and classification tasks. In this chapter, we introduce a family of models based on neural networks. This family of models is the basis for the field of deep learning—an approach to machine learning behind some of the most exciting and recent advances in the field of artificial intelligence.

This chapter will give you enough knowledge to be able to use neural networks for predictive analytics; the point here is to present the fundamental concepts about these models and learn to train the most fundamental type of neural network—the multilayer perceptron (MLP).

First, we will cover the main concepts of neural networks when talking about the anatomy of an MLP; then we will discuss how these models learn to make predictions...

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