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Create charts and graphs for Sentiment, Emotional Tone, and Keywords for Twitter handles and hashtags.
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Create a mobile application leveraging TensorFlow that will recognize and translate handwritten Korean characters.
Correlate content across documents using Python NLTK, Watson Natural Language Understanding (NLU) and IBM Data Science Experience (DSX)
The new Watson Conversation Slots feature allows you to create a complex dialog with fewer nodes. Using slots in this example, we can define the fields in one dialog node and handle the logic in a single node.
Use the IBM Watson Node.js SDK to create a web UI app that enriches multimedia files using speech-to-text conversion, tone analysis, natural language understanding, and visual recognition processing.
Create a cognitive news app in Node.js to deliver custom alerts via email for specific products or brands mentioned in the news. The app can also alert user on brand sentiment, related products as well as stock price changes.
Get a head start on developing connected devices in the home. Using Node-RED and Watson IoT APIs, you'll learn how to build a cognitive IoT app that detects irregularities in the voltage of your connected household devices.
Use transfer learning to leverage the TensorFlow Inception model and create your own image classifier using a PowerAI Jupyter Notebook.
Learn how to pull data points -- concepts, entities, categories, keywords, sentiment, emotion, etc. -- from Hacker News articles using natural-language service calls from a Swift-based application.
Discover how simple it is to build a home automation hub using natural-language services and OpenWhisk serverless technology.
Create a banking chatbot with conversation, natural language understanding, anger detection, and answer discovery from FAQ documents.
Use a TJBot with Watson services, Twilio, and FantasyData.com to create your own interactive sports buddy that can help you follow your favorite team, get game reminders, stats, and more.
Create a Watson Conversation-based financial chatbot that enables you to query your investments, analyze securities, and use multiple interfaces.
Efficiently build powerful deep learning applications and improve your machine learning speeds quickly.
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