Machine Learning is an amazing technology that uses pattern recognition and computational learning theory in AI. So what does that mean to the normal developer? This session will take you through the basics of what machine learning is and understanding its uses. Real world examples will help you learn what data sets work best for prediction, as well as which pre-canned algorithms to use for different data types.
You'll learn how to hit the ground running with setting up your own machine learning experiments to predict information and use real world data to predict outcomes. If you know little to nothing about ML, this session is for you.
You will learn:
- About R
- How to immediately get using Machine Learning and the environments available to you
- The difference between common algorithms and when to apply them