"This talk introduces machine learning through the lens of three use cases:

• Teaching a computer sign language (supervised learning)
• Predicting energy usage in Texas (time series data)
• Using machine learning to find your next job (content-based filtering)
  Each use case demonstrates techniques applicable in real-world machine learning problems."

Machine learning can feel like a magic black box. Learn the math behind the magic in this beginner-friendly talk. Attendees will walk away knowing what the different kinds of machine learning are, how to use the PyData stack to apply them, and how to approach problems commonly encountered when practicing machine learning in the real world.

#MachineLearning #DataScience #AI