The Chicago Data Science Conference committee has put together an impressive set of workshops this year. Our workshops are designed for data enthusiast to jumpstart their career by building a solid foundation in machine learning. Each workshop has limited participants to further foster a truly interactive experience. Registrants also gain access to all Conference Sessions and Exhibition on May 19 (Saturday).

The detailed location and arrangement will be emailed to the registrants.

Machine Learning Workshop

About the Course

• Machine Learning Introduction
  What is machine learning?

• Scikit Learn Package for Machine Learning
  General learning models (supervised/unsupervised)
  Feature extraction

• Basic Regression Model
  Bias-variance trade-off
  Regularization
  Lasso, Ridge, Elastic-net

• Basic Classification Model
  Logistic, Tree, SVM
  Model-measurement

• Unsupervised Learning
  Dimension reduction
  Clustering

Instructor

Kyle Polich, Host at Data Skeptic

Kyle Polich is the host of Data Skeptic, a podcaster about data science, statistics, machine learning, and artificial intelligence, all through the eye of scientific skepticism. Outside of the show, he's an advisor for a few early-stage startups and consults with growth companies to deliver end-to-end data solutions. Kyle is a mentor for aspiring data scientists through his teaching with Thinkful, mentoring at NewMet Data Science Bootcamp, and one-on-one mentorship arrangements.

Workshop Length

4 hours per workshop

Price

$250 per workshop. The registrant also gain access to all Conference Sessions and Exhibition on May 19 (Saturday)

If you have any questions, please contact conference@ideassn.org for more information.