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Machine Learning Solutions

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

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Product type Paperback
Published in Apr 2018
Publisher Packt
ISBN-13 9781788390040
Length 566 pages
Edition 1st Edition
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Author (1):
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Jalaj Thanaki Jalaj Thanaki
Author Profile Icon Jalaj Thanaki
Jalaj Thanaki
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Table of Contents (19) Chapters Close

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

Problems with the revised approach


In this section, we will be discussing what the problems with the revised approach are. Is there any way in which we can optimize the revised approach? So first of all, let's discuss the area of improvement so that during the upcoming approach, we can focus on that particular point.

Some of the points that I want to highlight are as follows:

  • In the previous version of our chatbot there was a lack of reasoning, which means the chatbot couldn't answer the question by applying basic reasoning to it. This is what we need to improve.

  • Let me give you an example. Suppose I tell chatbot a story: John is in the kitchen. Daniel is in the bathroom. After that, say, I ask the chatbot this question: Where is John? The chatbot that we have built so far will not be able to answer this simple question. We as humans answer these kinds of questions well.

  • We try to implement this kind of functionality in our next approach so that we can enable some features of AI in the chatbot...

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