Workshop: [SOLD OUT] Machine Learning & AI: Core Techniques Workshop

With Python, TensorFlow and a plethora of other open source tools, anyone with a computer can run machine learning algorithms in a jiffy! However, without an understanding of which algorithms to choose and when to apply a technique, most machine learning efforts turn into trial and error experiments with conclusions like “The algorithms don’t work” or “Perhaps we should get more data”.

In this workshop, we will focus on the key tenets of machine learning algorithms and how to choose an algorithm for a problem. Rather than just showing how to run experiments in Python or TensorFlow, we will provide an intuitive understanding to machine learning with just enough mathematics and basic statistics.
 

What you’ll Learn:

• Machine Learning: An intuitive foundation
• The Machine Learning pipeline
• Supervised Learning: Classification and Prediction
• Machine learning methods: Regression, KNN, Random Forests, Neural Networks
• Evaluating performance
• Case study 1: Predicting interest rates in Freddie Mac mortgage data
• Case study 2: To give a loan or not using Lending club data