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Linear Regression Gone Wrong: Exploring Overfitting and Multicollinearity
11:40 AM to 12:55 PM
CSB 480
Nishant Kheterpal, University of Michigan
Abstract:
In this talk, we will examine two common ways that ordinary least squares regression can go wrong in practice: overfitting and multicollinearity. We will begin with a brief review of the theoretical foundations of linear regression from a linear algebraic perspective. Next, we will define a common issue—overfitting—and why it may occur before introducing regularization as a potential solution. We will then explore how regularization can also address an issue with features used in regression—multicollinearity. The talk will assume basic familiarity with linear algebra and regression, but does not require prior experience with machine learning.
Bio:
Nishant Kheterpal is a PhD candidate in Robotics at the University of Michigan. Most recently, he has been a TA for Practical Data Science at Michigan and instructor of record for two data science courses at UC San Diego. His research interests center on applications of formal methods to cyber-physical systems and in education. Prior to arriving at Michigan, he completed a BS degree in Electrical Engineering and Computer Sciences at UC Berkeley, where he taught for five semesters as a teaching assistant in Data Science. At Berkeley, he received the campus-wide Outstanding Graduate Student Instructor award in 2018.
Career Advising Walk-In Hours
1:00 PM to 3:00 PM
CSB 452
CS Careers
Want to map out the best strategies to maximize your professional development during your time at Columbia? Do you have a question about strengthening your resume? Ever wondered what career resources are available to you as a Columbia Graduate Student? Are you curious about strategies to land an internship/full-time opportunity or have specific career-related questions?
Please stop by for Walk-In hours with CS Career Officers in the Computer Science Lounge CSB 452 to connect with us and have your questions answered. First come, first serve so we encourage being on time. Please remember to address the most pressing questions first as each chat should be no more than 10-15 minutes to allow us to meet with as many students as possible.
AUDIENCE: CS Graduate students ONLY (MS, Bridge Students & PhD).
Career Advising Walk-In Hours
1:00 PM to 3:00 PM
CSB 452
CS Careers
Want to map out the best strategies to maximize your professional development during your time at Columbia? Do you have a question about strengthening your resume? Ever wondered what career resources are available to you as a Columbia Graduate Student? Are you curious about strategies to land an internship/full-time opportunity or have specific career-related questions?
Please stop by for Walk-In hours with CS Career Officers in the Computer Science Lounge CSB 452 to connect with us and have your questions answered. First come, first serve so we encourage being on time. Please remember to address the most pressing questions first as each chat should be no more than 10-15 minutes to allow us to meet with as many students as possible.
AUDIENCE: CS Graduate students ONLY (MS, Bridge Students & PhD).
Virtual Employer Info Session - Van Pelt, Yi & James LLP
12:30 PM to 1:30 PM
Zoom
CS Careers
Are you uncertain which career path you intend to pursue? Are you curious about what other non-traditional CS career paths there are? Have a passion for learning and staying current with emerging technologies? Learn more about the career path of a Patent Agent.
Van Pelt, Yi & James LLP will be hosting a virtual informational session. They are actively recruiting (U.S. Work Authorization Required). Van Pelt, Yi & James LLP is a Silicon Valley intellectual property law firm dedicated to serving the unique needs of emerging growth companies of all sizes, across the United States and abroad. They ensure their clients can focus on innovation and operating their business, confident that their patent needs are expertly managed.
Registration information can be found via VMock and will be provided via email. Company Website: https://ip-patent.com/
AUDIENCE: Columbia Engineering Graduate Students (MS, PhD, Alumni & Bridge Students)
All Ivy Environmental Sustainable Development Career Fair
9:30 AM to 3:30 PM
Climate School, CS Careers
Each year, the eight Ivy League schools come together to produce a unique and inspiring career fair that provides companies unparalleled access to students who have the skills and knowledge to address the complex sustainability and climate challenges of our global economy.
This year will mark the twenty-second annual All Ivy Environmental and Sustainable Development Career Fair hosted by the Climate School. This is the premier event for recruiters and top talent to connect and discuss career opportunities associated with sustainability and climate.
Registration and more information can be found via VMock: https://rb.gy/6aff8f
AUDIENCE: Columbia Engineering Students & Alumni
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