What do self-driving cars, speech recognition, photo tagging applications and spam filtering have in common? They all utilize machine learning!
Machine learning is a technique to teach computers to use information (or data) to solve complex problems quickly. It has exploded in popularity in recent years and is at the heart of many of your favorite web and mobile applications.
In this class, we will orient you to world of machine learning, help you identify problems well-suited for these approaches, and give you hands-on experience with basic machine learning tools.
What this class will cover:
• What is machine learning?
• How are people & companies using it right now?
• How can machine learning help you?
• How to get started with simple examples
Prerequisites: Students should understand functions and how to use them, basic command line tools, and basic programming in Python.
• A Wakari account
• An internet connection
We will be using Wakari to run everything in a web browser, eliminating the need to configure your computer. Before coming to class, please make an account for yourself and familiarize yourself with the setup. If you still have questions we will be happy to answer them at the beginning of class.
Please note that you will need to be able to connect to the internet to use Wakari.
About the teachers:
Alyssa Batula is a PhD candidate in electrical engineering at Drexel University. Her thesis project is to develop a brain computer interface (BCI) to control a robot. She is interested in Python, signal processing, machine learning, and robotics. http://music.ece.drexel.edu/people/abatula.
Ani Vemprala is CTO & Co-founder of Picwell, a Philly-based healthcare technology startup. Picwell uses machine learning and predictive analytics to help people buy health insurance with ease and confidence. Before moving to Philly, Ani worked in San Francisco at Twitter and Adify. Ani holds an MBA from The Wharton School and a BA in Computer Science from UC Berkeley. You can follow him @aniv.