PIRSA:19100089

Video URL

https://pirsa.org/19100089

Introduction to Machine Learning

Hayward, L. (2019). Introduction to Machine Learning. Perimeter Institute for Theoretical Physics. https://pirsa.org/19100089

Hayward, Lauren. Introduction to Machine Learning. Perimeter Institute for Theoretical Physics, Oct. 29, 2019, https://pirsa.org/19100089 

          @misc{ scivideos_PIRSA:19100089,
            doi = {10.48660/19100089},
            url = {https://pirsa.org/19100089},
            author = {Hayward, Lauren},
            keywords = {Other Physics},
            language = {en},
            title = {Introduction to Machine Learning},
            publisher = {Perimeter Institute for Theoretical Physics},
            year = {2019},
            month = {oct},
            note = {PIRSA:19100089 see, \url{https://scivideos.org/index.php/pirsa/19100089}}
          }

Lauren Hayward Perimeter Institute for Theoretical Physics

Talk numberPIRSA:19100089
DOI10.48660/19100089
Source RepositoryPIRSA
Talk Type Scientific Series
Subject

Abstract

Machine learning has led to recent advancements in image processing, language translation, finance, robotics, musical and visual arts, and medical diagnosis. In this session, we will explore how machine learning can be applied within fields of physics. We will introduce fundamental concepts in machine learning such a neural networks and supervised vs. unsupervised learning, and then proceed to learn to use tools from Python's TensorFlow library.

 

Bring your laptop. You can attend remotely via Zoom <https://zoom.us/j/154009181>.