The course "Chatbots" offers a deep dive into the world of chatbots, equipping learners with the skills to design, build, and optimize conversational interfaces. You will explore the evolution of chatbot technology and understand the fundamental mechanics that drive their functionality. Through hands-on projects using Amazon Lex and AWS, you'll not only learn to create chatbots but also how to evaluate their performance using machine learning classifiers.
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Chatbots
Ce cours fait partie de Spécialisation Social Computing
Instructeur : Ian McCulloh
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Ce que vous apprendrez
Explore the history and mechanics of chatbots, enhancing your understanding of their design and function.
Construct and evaluate machine learning classifiers using BERT for effective text classification tasks.
Gain hands-on experience in creating and configuring functional chatbots using AWS Chatbot services.
Compétences que vous acquerrez
- Catégorie : AWS Chatbot Implementation
- Catégorie : Chatbot Design Principles
- Catégorie : Collaborative Problem-Solving
- Catégorie : Machine Learning Classifiers
- Catégorie : Performance Metrics Calculation
Détails à connaître
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septembre 2024
8 devoirs
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Il y a 4 modules dans ce cours
Explore the practical applications of machine learning through hands-on modules covering data pre-processing, feature extraction, model evaluation, and supervised learning techniques. Delve into specialized topics such as computer vision and learn to implement and assess various machine learning models. This course combines theoretical insights with practical lab activities to equip you with essential skills in applied machine learning
Inclus
1 lecture1 plugin
In this module, you'll delve into the fascinating world of chatbots, covering their historical development and evolution. Understand the basic mechanics behind how chatbots work and explore fundamental design principles essential for enhancing their performance. Gain practical insights into building and optimizing chatbots using Amazon Lex, a leading platform for developing conversational interfaces. By the end of this module, you'll have a comprehensive understanding of chatbot technology and its application across various industries.
Inclus
2 vidéos2 lectures3 devoirs
In this module, you’ll focus on constructing and evaluating machine learning (ML) classifiers using crowdsourced data. You’ll learn how to leverage BERT (Bidirectional Encoder Representations from Transformers) in R and TensorFlow for text classification tasks. You’ll also gain hands-on experience in building ML models that classify text data effectively. You’ll learn to calculate and interpret ML performance metrics to assess classifier accuracy and reliability. By the end of this module, you'll be equipped with practical skills to develop robust classifiers capable of handling diverse datasets.
Inclus
1 lecture2 devoirs1 laboratoire non noté
This module will guide you through the process of building your own chatbot using AWS (Amazon Web Services). You’ll begin with an introductory conceptual video outlining chatbot creation concepts. You’ll dive deep into practical implementation with AWS Chatbot, learning step-by-step how to set up and configure your chatbot. You will also explore strategies to make your chatbot operational and effective. You’ll collaborate with classmates to exchange ideas and troubleshoot challenges, fostering a supportive learning environment. By the end of this module, you'll have the skills and confidence to develop functional chatbots tailored to various applications.
Inclus
3 lectures3 devoirs5 plugins
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