[Free] Finding Actionable Insights Using Keras Autoencoders
Using Autoencoders to Better Understand your Customers – Measuring Customer Credit Risk – Free Course
What you’ll learn
- Learn to build a Keras Autoencoder using Python
- Learn to extract actionable insights from data using unsupervised and semi-supervised modeling
- Learn to find anomalies in data
Requirements
- You should know a little Python, how to install Python libraries, and how to use Jupyter notebook
Description
Please join me for another exciting data science class where we apply autoencoders or unsupervised learning towards the pursuit of knowledge.Remember at the end of the day modeling and data science don’t mean much if we can’t extract actual insights to help guide our customers, our friends, the research community in the advancement of whatever it is they are after using data. Autoencoders can help you better understand your data, answer your questions, and even discover new ones! Please join me on this exciting adventure!
Author(s): Manuel Amunategui
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