Practical Machine Learning Core ML 2.0, Create ML & Swift

Artificial Intelligence and Machine Learning is all around us. Autonomous delivery robots, self–driving cars, Apple Siri, Google Home, Amazon Alexa are some common examples of how machine learning and artificial intelligence have become integral part of our day to day life.

Do you ever wonder as what are the driving factors for these innovations, what are the fundamental building blocks behind these and what will it take to learn all these skills to apply on your app? If you ever wonder about all this then this course is for you.

This course will teach you, how to integrate machine learning into your iOS apps. We are going to learn concepts, types and areas of machine learning while building apps to utilize techniques learned. We will build and train our own machine learning models to classify images as well as classify textual data via Apple’s new Natural Language Processing framework.

This course will teach you to perform common machine learning tasks. We will focus on practical applications backed with intelligence of machine learning, using hands–on Swift code examples.

You will learn how to train machine learning models on your computer. You will develop several smart apps, including a healthy snack classifier, berry fruit classification, Neural Network based style transfer app to turn your photos into famous painter’s masterpiece and a lot more!