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Ensemble Machine Learning Cookbook

You're reading from Ensemble Machine Learning Cookbook

Product type Book

Published in Jan 2019

Publisher Packt

ISBN-13 9781789136609

Pages 336 pages

Edition 1st Edition

Languages

Concepts

Machine Learning

Authors (2):

Dipayan Sarkar

Vijayalakshmi Natarajan

View More author details

Table of Contents (14) Chapters

Preface

1. Get Closer to Your Data

2. Getting Started with Ensemble Machine Learning

3. Resampling Methods

4. Statistical and Machine Learning Algorithms

5. Bag the Models with Bagging

6. When in Doubt, Use Random Forests

7. Boosting Model Performance with Boosting

8. Blend It with Stacking

9. Homogeneous Ensembles Using Keras

10. Heterogeneous Ensemble Classifiers Using H2O

11. Heterogeneous Ensemble for Text Classification Using NLP

12. Homogenous Ensemble for Multiclass Classification Using Keras

13. Other Books You May Enjoy

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Sections

In this book, you will find several headings that appear frequently (Getting ready, How to do it..., How it works..., There's more..., and See also).

To give clear instructions on how to complete a recipe, use these sections as follows:

Getting ready

This section tells you what to expect in the recipe and describes how to set up any software or any preliminary settings required for the recipe.

How to do it...

This section contains the steps required to follow the recipe.

How it works...

This section usually consists of a detailed explanation of what happened in the previous section.

There's more...

This section consists of additional information about the recipe in order to make you more knowledgeable about the recipe.

See also

This section provides helpful links to other useful information for the recipe.

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Authors (2)

Dipayan Sarkar

Dipayan Sarkar holds a Masters in Economics and comes with 17+ years of experience. Dipayan has won international challenges in predictive modeling and takes a keen interest in the mathematics behind machine learning techniques. Before opting to become an independent consultant and a mentor in the data science and machine learning space with various organizations and educational institutions, he had served in the capacity of a senior data scientist with Fortune 500 companies in the US and Europe. He is currently associated with Great Lakes Institute of Management as a visiting faculty (Analytics) and BML Munjal University as an adjunct faculty (Analytics and Machine Learning). He has co-authored a book on "Ensemble Machine Learning with Python" with PACKT Publishing.

See other products by Dipayan Sarkar

Vijayalakshmi Natarajan

Vijayalakshmi Natarajan holds an ME in Computer Science, comes with 4 years of industry experience. She is a data science enthusiast and is a passionate trainer in the field of data science & data visualization. She takes keen interests in deep diving into Machine Learning techniques. Her specialization includes machine learning techniques in the field of image processing.

See other products by Vijayalakshmi Natarajan

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