Create a real-time object detection app using Watson Machine Learning
Build an iOS app that lets you use your own custom-trained models to detect objects. You’ll create an IBM Cloud Object Storage instance to store your labeled data, then after your data is ready, you’ll learn how to start a Watson Machine Learning instance to train your own custom model on top-of-the-line GPUs.
Use your arms to make music
Create music following your arm movements using Model Asset eXchange (MAX) human pose estimator model and TensorFlow.
Machine learning using synthesized patient health records
Build a data model without worrying about privacy issues associated with real patient records.
A beginner’s guide to natural language processing
Discover how natural language processing can help you to converse more naturally with computers.
The lightweight IBM Cloud Garage Method for data science
The lightweight IBM Cloud Garage Method for data science includes a process model and an architectural decisions guide to map individual technology components to the reference architecture and guidelines for deployment considerations.
Combine 15 cloud technologies on one game application on the web
Use a deep learning model from the Model Asset eXchange to power a 'magic' image cropping web app
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AI in Gaming with IBM Watson
08 May; Webcast
Big Data Innovation Conference
09 May; Prague, Czech Republic
AI Data Science Summit
21 May; Jerusalem, Israel