Introduction to Neural Networks with Tensorflow

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Accepted Session
Short Form
Intermediate
Scheduled: Thursday, June 23, 2016 from 1:30 – 2:15pm in B301

Excerpt

I intend to introduce Neural Networks as a very simple concept. This can be achieved with Google's newest open-source library in Python called Tensorflow. I want to dispel the myth that Neural Networks are hard to understand and implement. I also want to introduce the current state of Neural Networks as they are continually changing the landscape of visual recognition and natural language processing.

Description

Neural Networks are becoming very popular due to their recent advancements in image recognition and text processing. This talk introduces the Neural Network concept and shows how easy they can be implemented in python with Google’s Tensorflow library. We will also cover the recent advancements of Neural Networks and show where they might go in the next few years.

Tags

neural networks, python, machine learning, tensorflow

Speaking experience

(1) Teacher at UW for the PCE course in Data science,
(2) "Productionalizing Machine Learning in Python". PyCarribean, Feb 2016.
(3) "Using R in Data Science". UW May 2015.
(4) Data Science at Zillow". Python Data Science Meetup, Feb 2015 & Mar 2015.
(5) "Mathematics in the Industry: A Beneficial Relationship". UW Math Club Nov. 2014.

Speaker

  • Small cropped picture

    Biography

    Nicholas McClure is a senior data scientist for the Zestimate group at Zillow, where he works on data cleaning projects including predicting listing fraud, entity resolution and Zestimate quality. Prior to joining Zillow, he worked at Caesar’s Entertainment in Las Vegas as a gaming statistician and data scientist. He has worked on everything from casino game design to optimal slot machine placement and predicting customer worth. His team received the 2013 Chairman’s Award in Rigor for their work on table game optimization. He received a National Science Foundation Integrative Graduate Education and Research Traineeship fellowship for studying infectious disease while working on his master’s and Ph.D. in applied mathematics from the University of Montana, where he studied the role of mutation in cystic fibrosis lung infections.

    Sessions

      • Title: Introduction to Neural Networks with Tensorflow
      • Track: Theory
      • Room: B301
      • Time: 1:302:15pm
      • Excerpt:

        I intend to introduce Neural Networks as a very simple concept. This can be achieved with Google’s newest open-source library in Python called Tensorflow. I want to dispel the myth that Neural Networks are hard to understand and implement. I also want to introduce the current state of Neural Networks as they are continually changing the landscape of visual recognition and natural language processing.

      • Speakers: Nick McClure

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