Train Machine Learning model with IBM Watson, Core ML, Swift

Course details

Apple recently announced their partnership with IBMto leverage IBM's Watson service to train machine learning models for CoreML. So that mean you nowcan build apps that leverage Watson machine learningmodels on iPhone and iPad, even whenyour device is offline. Your apps can quickly analyze images, accurately classify visual content, and easily train models using Watson Services.

With this video series you will learn to onboardwith not onlypre-trained Watson models butcustomize and train models that continuously learn over time.

In Apple's own words "You can build apps that seamlessly integrate with IBMCloud using the IBMCloud Developer Console for Apple. This allows you to quickly tap into Watson Services for CoreML, as well as other IBM cloud services including authentication, data, analytics, and more. The console provides a catalog of starter kits designed for common frameworks that integrate with IBMCloud."

This makes it easy for any app developer to get on-boarded with training their models without going through extensive learningsabout Machine Learning algorithms. Knowledge of machine learning is great but to get started quickly and to roll out product in market with intelligence built in is awesome.

So in this video course we will learn to leverage power of IBMWatson to create some really sophisticated models and use them in our apps in no time.