Review Cloud Dialogflow's capabilities for building conversational interfaces supported by machine learning in this video.
- [Instructor] Cloud Dialogflow is a pre-built application…that can be used to build conversational dialogues…in chat or voice applications.…It hosts a suite of machine-learning capabilities…that can be used to build conversational interfaces.…It enables building chatbots…for text and speech conversations.…These chatbots can recognize what the user is talking about…and suitably respond with messages and answers.…
So, how can you build these things…using Cloud Dialogflow?…With an integrated code editor, of course.…On top of that, Cloud Dialogflow is serverless…and fully managed application on GCP.…That means you're going to save money…on setup and maintenance costs.…It has multi-language support, and hints can be used…to build chatbots that recognize the user's language…and respond in the same language.…
It also provides analytics for user experiences.…This provides for analyzing conversations…and fine-tuning chatbots for better user experience.…
- Evaluating the machine learning tools in GCP
- Understanding the predictive analytics process
- Building models
- Training models with jobs
- Building and running predictions
- Best practices for cost control, testing, and performance monitoring
Skill Level Intermediate
Predictive Customer Analyticswith Kumaran Ponnambalam1h 37m Intermediate
1. ML Options in GCP
2. Cloud ML Basics
3. Model Building with Cloud ML
4. Predictions in Cloud ML
5. Cloud ML Best Practices
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