Machine Learning Workshop SIAM GS 2015

Introduction to Machine Learning Workshop

SIAM Geosciences 2015

Machine Learning Workshop

Brought to you by the Institute for Computational and Mathematical Engineering (ICME) at Stanford University.

Schedule

Workshops will be held on Sunday, June 28 2015 at Stanford University, prior to the SIAM Geosciences conference.
Morning Session (9am - 12noon)

Location: NVIDIA Auditorium, Huang Engineering Center [ map | room location | driving/parking directions ]

Afternoon Session (1pm - 4pm)

Location: Y2E2 Room 111 [ map | room location | driving/parking directions ]

Bottled drinks and snacks will be provided for workshop participants.
Food/coffee is available for purchase at Tressider Union (map) or Stanford Bookstore Cafe (map).

Instructors

Alexander Ioannidis: ioannidis [at] stanford [dot] edu
Karianne Bergen: kbergen [at] stanford [dot] edu

(Please send any emails to both instructors and include "ML Workshop" in subject heading)

About this Workshop

In this Introduction to Machine Learning Workshop, we will present the principles behind when, why, and how to apply modern machine learning algorithms. We introduce a framework for reasoning about how to apply various machine learning techniques. Topics will include: supervised and unsupervised methods, considerations of over-fitting/under-fitting (including regularization methods), considerations of interpretability, and techniques for handling missing data.

This workshop is an abridged 'teaser' version of CME 250, a short course offered for credit at Stanford University; CME 250 will be offered again in Fall quarter 2015.

Prerequisites

The workshop assumes no prior background in machine learning. Previous exposure to undergraduate-level mathematics (calculus, linear algebra, statistics) and basic programming (e.g. R/Matlab/Python) will be particularly helpful.