Book Image

Mastering Machine Learning Algorithms. - Second Edition

By : Giuseppe Bonaccorso
Book Image

Mastering Machine Learning Algorithms. - Second Edition

By: Giuseppe Bonaccorso

Overview of this book

Mastering Machine Learning Algorithms, Second Edition helps you harness the real power of machine learning algorithms in order to implement smarter ways of meeting today's overwhelming data needs. This newly updated and revised guide will help you master algorithms used widely in semi-supervised learning, reinforcement learning, supervised learning, and unsupervised learning domains. You will use all the modern libraries from the Python ecosystem – including NumPy and Keras – to extract features from varied complexities of data. Ranging from Bayesian models to the Markov chain Monte Carlo algorithm to Hidden Markov models, this machine learning book teaches you how to extract features from your dataset, perform complex dimensionality reduction, and train supervised and semi-supervised models by making use of Python-based libraries such as scikit-learn. You will also discover practical applications for complex techniques such as maximum likelihood estimation, Hebbian learning, and ensemble learning, and how to use TensorFlow 2.x to train effective deep neural networks. By the end of this book, you will be ready to implement and solve end-to-end machine learning problems and use case scenarios.
Table of Contents (28 chapters)
26
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27
Index

Summary

In this chapter, we introduced two algorithms that are very helpful in marketing scenarios. Biclustering is a method for performing clustering on a matrix dataset with two different views correlated by a medium factor. The model facilitates the discovery of the checkerboard structure of such a dataset and can be employed whenever it's helpful to discover segments of elements (for example, customers or products) that share the same medium factor. A classic application is the creation of recommender systems that can immediately identify the similarities existing between a group of customers and products and help marketeers to provide suggestions with a high conversion likelihood.

Apriori is an efficient solution for performing market basket analysis on large transaction datasets. It enables discovery of the most important association rules existing in the dataset so as to plan optimal marketing strategies. Classical applications are product segmentation, promotion planning...