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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

Introducing the problem statement

In this chapter, our primary goal is to understand how to build a chatbot. Chatbots, or question-answering systems (QA systems), are really helpful. Let's consider a fun example. Suppose you are a student and you have five books to read. Reading and understanding five books may take time. What if you could feed the content of all these five books to the computer and ask only relevant questions? By doing this, students could learn the concepts and new information faster. As we all know, major internet product companies are arranging information so it is easy to access. Chatbots or QA systems will help us understand the meaning behind this information. This is the main reason why chatbots are the buzzword for the year 2017. Whatever application you can think of, you can make a chatbot for it. Many messaging platforms now host chatbots built by developers, including Facebook Messenger, Slack, WeChat, and so on. Chatbots are the new app because they already...

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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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