Join BDPA for an insightful discussion about the basics of Machine Learning. Machine Learning is a discipline within Computer Science focused on completing tasks based on statistical prediction and inference rather than sequential instructions. It relies heavily on mathematically trained models and leverages the parallel processing capability of modern microprocessors.
Some current applications include:
1. Spam Filtering
2. Credit Card Fraud Detection
3. Image and Speech Recognition
4. Autonomous Navigation in Vehicles
Eric Hill and Tyrone Hill will present an overview of the field. The presentation will cover:
1. Types of Machine Learning Problems (Regression vs.Classification)
2. Software-based tools and frameworks commonly used to solve Machine Learning problems
3. Simple demos of Machine Learning applications
About our presenters:
Eric Hill is a Computer Architect at Intel Corporation in Portland, Oregon. He has over 10 years experience designing low-power and high-performance microprocessors. He has a PhD in Electrical Engineering from University of Wisconsin-Madison.
Tyrone Hill is a Systems Architect at Intel Corporation in Santa Clara, California. He has over 10 years of experience in power management and battery life optimization for laptops, tablets, and smartphones. He has a PhD in Electrical Engineering from MIT.