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Chatbots for Beginners: A Complete Guide to Build Chatbots
Chatbots for Beginners: A Complete Guide to Build Chatbots

Chatbots for Beginners: A Complete Guide to Build Chatbots: Develop Chatbots using Machine Learning, Deep Learning, and Amazon Lex

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$120.99
Full star icon Full star icon Full star icon Full star icon Full star icon 5 (1 Ratings)
Video Feb 2023 7hrs 57mins 1st Edition
Video
$120.99
Subscription
Free Trial
Renews at $12.99p/m
Arrow left icon
Profile Icon AI Sciences
Arrow right icon
$120.99
Full star icon Full star icon Full star icon Full star icon Full star icon 5 (1 Ratings)
Video Feb 2023 7hrs 57mins 1st Edition
Video
$120.99
Subscription
Free Trial
Renews at $12.99p/m
Video
$120.99
Subscription
Free Trial
Renews at $12.99p/m

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Key benefits

  • Learn basic ML architecture for chatbots and the impact of ML technology on the chatbots industry
  • Explore Amazon Web Services (AWS) and the functionality of Amazon Lex for chatbot development
  • Gain hands-on knowledge of Amazon Lex, Lambda, and Twilio, and their integration with AWS chatbots

Description

Chatbots are computer programs that converse with users, understand their intent, and reply based on preset rules and data. Chatbots are used in dialog systems for various purposes, including customer service, request routing, or information gathering in e-commerce, education, entertainment, finance, health, and more. The course begins with an in-depth introduction to chatbot basics with ML, DL, and AWS. We will understand chatbots, their needs and types, rule-based/self-learning chatbots and their working mechanisms, and explore ML-based chatbot concepts. We will explore Natural Language Toolkit (NLTK) and install packages to create a corpus with Python. We will train and test the chatbot. We will then advance to DL-based chatbots and compare conventional with DL-based chatbots. You will learn about tokenization, encoder-decoder, and implementing RNN-based models. Finally, we will explore AWS for chatbot training with DL. We will examine the features of AWS and build a hotel booking chatbot with Amazon Lex. We will connect AWS Lambda to Amazon Lex and integrate the chatbot with Twilio. We will use AWS SDK and create response cards with chatbots. Upon completion, we will independently be able to build chatbots using ML, DL, and AWS Lex on Python, with a thorough understanding of the creation and functioning of these chatbots. All resources are available at: https://github.com/PacktPublishing/Chatbots-for-Beginners-A-Complete-Guide-to-Build-Chatbots

Who is this book for?

This course is designed for individuals looking to advance their skills in applied machine learning and DL, understand relationships of data analysis with ML and DL, learn AWS and apply AWS Lex and Lambda for chatbots, build customized chatbots for their applications, implement DL algorithms for chatbots and rule-based self-learning chatbots. This course can benefit ML/DL practitioners, research scholars, and data scientists researching chatbots. No prior knowledge of chatbots, ML, DL, Amazon Lex, data analysis, or mathematics is required. Prior basic- to intermediate-level Python knowledge is required.

What you will learn

  • Learn the basic machine learning architecture for the chatbots
  • Gain hands-on practice in text generation with Python for chatbots
  • Learn about testing and training chatbots with machine learning
  • Learn hands-on web-based development of the AWS chatbot
  • Implement settings of a decoder-encoder model with Python
  • Understand the impact/overview tokenization in chatbot development

Product Details

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Publication date, Length, Edition, Language, ISBN-13
Publication date : Feb 28, 2023
Length: 7hrs 57mins
Edition : 1st
Language : English
ISBN-13 : 9781837637621
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Product Details

Publication date : Feb 28, 2023
Length: 7hrs 57mins
Edition : 1st
Language : English
ISBN-13 : 9781837637621
Languages :
Concepts :
Tools :

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