Build a Working Chatbot in Python

제공자:
Coursera Project Network
학습자는 이 안내 프로젝트에서 다음을 수행하게 됩니다.

Plan a custom development strategy for a chatbot with a specific goal in mind

Develop rule-based transactional responses for the most common inputs

Build a fully functional, intelligently responding chatbot that is trained for a specific task or for entertainment

Clock2 hours
Intermediate중급
Cloud다운로드 필요 없음
Video분할 화면 동영상
Comment Dots영어
Laptop데스크톱 전용

Google Assistant, Alexa, Siri. These have become household names. Thanks to advances in Natural Language Processing technologies, chatbots are increasing efficiency and saving money for companies worldwide. Chatbots can be used for a variety of tasks. Take customer support for example, where a chatbot can be used for: answering questions, finding products, checking inventory, or recommending items. They are also finding use to speed up medical diagnosis and triage (especially in mental health), keep the elderly company, and even in the context of video games. In this project, I will show you a variety of methods and techniques for creating an intelligent AI chatbot for your business or for fun. You could even build a chatbot that imitates you! Note: This course works best for learners who are based in the North America region. We’re currently working on providing the same experience in other regions.

개발할 기술

Natural Language ProcessingMachine LearningPython ProgrammingTensorflowChatbot

단계별 학습

작업 영역이 있는 분할 화면으로 재생되는 동영상에서 강사는 다음을 단계별로 안내합니다.

  1. Overview types and uses of chatbots

  2. Begin the Development Workflow

  3. Rule-based Responses

  4. Word Embeddings, Tokenization, and Vectorization

  5. Discuss NLP models

  6. Gather or create a dataset (corpus) and train an NLP model on it using Tensorflow

  7. Sentiment Analysis for User Insight

  8. Combine Methods for an Adaptable, Task-Oriented Chatbot

  9. Get your chatbot online with Twilio and Flask

안내형 프로젝트 진행 방식

작업 영역은 브라우저에 바로 로드되는 클라우드 데스크톱으로, 다운로드할 필요가 없습니다.

분할 화면 동영상에서 강사가 프로젝트를 단계별로 안내해 줍니다.

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