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Machine Learning Solutions

You're reading from Machine Learning Solutions Expert techniques to tackle complex machine learning problems using Python

Product type Paperback

Published in Apr 2018

Publisher Packt

ISBN-13 9781788390040

Length 566 pages

Edition 1st Edition

Languages

Python

Tools

OpenCV

Concepts

Machine Learning

Author (1):

Jalaj Thanaki

View More author details

Table of Contents (19) Chapters

Machine Learning Solutions

Foreword

Contributors

Preface

1. Credit Risk Modeling

2. Stock Market Price Prediction FREE CHAPTER

3. Customer Analytics

4. Recommendation Systems for E-Commerce

5. Sentiment Analysis

6. Job Recommendation Engine

7. Text Summarization

8. Developing Chatbots

9. Building a Real-Time Object Recognition App

10. Face Recognition and Face Emotion Recognition

11. Building Gaming Bot

List of Cheat Sheets

Strategy for Wining Hackathons

Index

Building the basic version of a chatbot

In this section, we will be building the basic version of a chatbot. Getting data is not an issue for any company nowadays but getting a domain-specific conversational dataset is challenging.

There are so many companies out there whose goal is to make an innovative domain-specific chatbot, but their major challenge is getting the right data. If you are facing the same issue, then this basic approach can help you in that. This basic version of a chatbot is based on the closed domain and the retrieval-based approach, which uses the rule-based system. So, let's start understanding each aspect of the rule-based system.

Why does the rule-based system work?

As I mentioned earlier, a rule-based system is the way to implementing a retrieval-based approach. Now, you may wonder why we need a rule-based system. Considering that we are living in the era of Machine Learning (ML), doesn't it sound old? Let me share my personal experience with you. I closely collaborate...

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Authors (1)

Jalaj Thanaki

Jalaj Thanaki

Jalaj Thanaki is an experienced data scientist with a demonstrated history of working in the information technology, publishing, and finance industries. She is author of the book Python Natural Language Processing, Packt publishing. Her research interest lies in Natural Language Processing, Machine Learning, Deep Learning, and Big Data Analytics. Besides being a data scientist, Jalaj is also a social activist, traveler, and nature-lover.

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