Upcoming Events

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Events Archive

SML Lunch & Learn - Chris Baldassano

*Lunch available from 12:15 p.m. for all Lunch & Learn talks.*

Location: 26 Prospect Avenue (former BCF building), room 103
Speaker(s):

Princeton Data Science Club: Data@Philadelphia Eagles

PDS will be hosting the VP of Football Ops with the Philadelphia Eagles. The guest speaker will be discussing analytics and data science at the Eagles. He will also be explaining his background and experince with data science in addition to career opportunities for students.

Location: Lewis Library 138
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Research Computing Day

Location: Maeder Hall Auditorium, Andlinger Center for Energy and the Environment

Data@Amazon

PDS will be hosting a Princeton alumna and members of her supply chain data science team at Amazon. Our guests from Amazon will be discussing data science problems specific to Amazon and will dive into a case study of using data science to solve real world problems. The event will also include a discussion of data science opportunities at...

Location: 26 Prospect Ave, Classroom 103

PACM & CSML Joint Colloquium: Mean estimation: median-of-means tournaments

One of the most basic problems in statistics is how to estimate the expected value of a distribution, based on a sample of independent random draws. When the goal is to minimize the length of a confidence interval, the usual empirical mean has a sub-optimal performance, especially for heavy-tailed distributions.

Location: 214 Fine Hall
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PNI & CSML Joint Colloquium: Brain mapping with machine learning - linking brain structures to cognitive function

Speaker: Gael Varoquaux

Title: Brain mapping with machine learning: linking brain structures to cognitive function

Time: Oct 20, 2pm

Room: PNI 101

Speaker(s):

PACM & CSML Joint Colloquium: Methods of network comparison

The topology of any complex system is key to understanding its structure and function. Fundamentally, algebraic topology guarantees that any system represented by a network can be understood through its closed paths. The length of each path provides a notion of scale, which is vitally important in characterizing dominant modes of system...

Location: 214 Fine Hall
Speaker(s):

Data Sciences Club: Data@Uber

Two Princeton alums who work as data scientists at Uber will talk about data science problems, case studies, and answer answer any questions from the audience.

Location: 26 Prospect Ave, Classroom 103
Speaker(s):

Lunch & Learn - Brandon Stewart

Location: 26 Prospect Ave, Classroom 103
Speaker(s):

Princeton Data Science Club: Data@Akuna Capital

Join Princeton Data Science for this semester's first Data@ event! We'll feature members of the Quant team at Akuna Capital, who will speak about how they use data science in their daily work.

Location: CSML Classroom 103

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