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Natural language processing and chatbots: AI-based text generation and conversation engine development

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Overview

This course dives into Natural Language Processing (NLP) with a focus on developing intelligent chatbots and AI-powered conversation engines. You’ll learn the fundamentals of NLP including tokenization, sentiment analysis, entity recognition, and language modeling using Python libraries like NLTK, spa Cy, and Hugging Face Transformers. Practical projects include building rule-based bots, training machine learning models, and deploying AI chat agents capable of real-time conversation. The course also covers ethical considerations and performance evaluation metrics. Ideal for developers, data scientists, and...

Syllabus

  • むントロダクション
  • 孊習の準備
  • Pythonの基瀎
  • 必芁な数孊
  • ニュヌラルネットワヌクずバックプロパゲヌション
  • 自然蚀語凊理の準備
  • word2vec
  • リカレントニュヌラルネットワヌクRNN
  • LSTM
  • 文章の生成
  • チャットボットの開発
  • ボヌナスレクチャヌ
Natural language processing and chatbots: AI-based text generation and conversation engine development
Go to Class

via Udemy

6 hours 10 minutes

Certificate Available

English

On-Demand

Beginner

Instructor

我劻 幞長 Yukinaga Azuma

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