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Scala for Machine Learning

You're reading from Scala for Machine Learning Leverage Scala and Machine Learning to construct and study systems that can learn from data

Product type Paperback

Published in Dec 2014

Publisher

ISBN-13 9781783558742

Length 624 pages

Edition 1st Edition

Languages

Scala

Concepts

Machine Learning

Author (1):

Patrick R. Nicolas

View More author details

Table of Contents (15) Chapters

Preface

1. Getting Started

2. Hello World! FREE CHAPTER

3. Data Preprocessing

4. Unsupervised Learning

5. Naïve Bayes Classifiers

6. Regression and Regularization

7. Sequential Data Models

8. Kernel Models and Support Vector Machines

9. Artificial Neural Networks

10. Genetic Algorithms

11. Reinforcement Learning

12. Scalable Frameworks

A. Basic Concepts

Index

Naïve Bayes and text mining

The multinomial Naïve Bayes classifier is particularly suited for text mining. Naïve Bayes is used to classify the following entities:

E-mails as legitimate versus spam
Business news stories
Movie reviews and scoring
Technical papers as per field of expertise

This third use case consists of predicting the direction of a stock, Tesla Motors Inc, (ticker symbol: TSLA) give the financial news. The features are the frequency of occurrence of some specific terms related to the stock. It is unclear how fast the investor or trader reacts to the news and influence, if any, of the value of a stock. Therefore, the delayed response time, as depicted in the following chart, should be a feature of the proposed model:

Naïve Bayes and text mining

The feature market response delay would play a role in the training, only if the variance of the observations is significant. The distribution of the frequencies of the delay in the market response to any newsworthy articles regarding TSLA shows that...

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Authors (1)

R. Nicolas

R. Nicolas

Patrick R. Nicolas is the director of engineering at Agile SDE, California. He has more than 25 years of experience in software engineering and building applications in C++, Java, and more recently in Scala/Spark, and has held several managerial positions. His interests include real-time analytics, modeling, and the development of nonlinear models.

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