Free Natural Language Processing Course

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Add Natural Language Processing AI power to App by LUIS API
3.5
Udemy 0 learners
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This course will teach you how to integrate Natural Language Processing into your App using Microsoft Cognitive Services Language Understanding Intelligent Service (LUIS API). You will learn how to build custom LUIS models, integrate them into Chatbot, Web App or IOT App, and use features like phrase list and active learning to improve the performance of your AI-powered applications. Enroll now to learn how to add Artificial Intelligence to your App!
alphacode-explained-ai-code-generation-12036
AlphaCode Explained: AI Code Generation
2.5
Youtube 0 learners
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This course provides an introduction to AlphaCode, a new AI code generation technology. It covers the basics of competitive programming, how AlphaCode works, pretraining, sampling, ensemble, demo, graph, paper, copying, and examples. It is designed to help students gain a better understanding of AI code generation and online learning, as well as develop their skills in coding.
how-to-build-a-chatbot-without-coding-12037
How to Build a Chatbot Without Coding
2.0
Coursera 0 learners
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This course will teach you how to create useful chatbots without the need to write any code. You'll learn how to plan, implement, test, and deploy chatbots with IBM Watson's Natural Language Processing capabilities. No coding is required, and you'll be provided with a website to deploy your chatbot. Get ahead of the curve and learn this highly in demand skill set today!
natural-language-processing-12038
Natural Language Processing
1.5
Coursera 0 learners
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This online course covers a wide range of Natural Language Processing (NLP) tasks from basic to advanced, such as sentiment analysis, summarization, and dialogue state tracking. You will learn to recognize NLP tasks, propose approaches, and judge which techniques are likely to work best. The final project is to build a conversational chat-bot to assist with search on StackOverflow. You will gain hands-on experience with text classification, named entities recognition, and duplicates detection. The course also covers traditional and deep learning techniques in NLP, and provides an in-depth understanding of what's happening inside. Technical support is available via email.
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