Introduction to Machine Learning
APA
Hayward, L. (2019). Introduction to Machine Learning. Perimeter Institute. https://pirsa.org/19100089
MLA
Hayward, Lauren. Introduction to Machine Learning. Perimeter Institute, Oct. 29, 2019, https://pirsa.org/19100089
BibTex
@misc{ pirsa_PIRSA:19100089, doi = {10.48660/19100089}, url = {https://pirsa.org/19100089}, author = {Hayward, Lauren}, keywords = {Other}, language = {en}, title = {Introduction to Machine Learning}, publisher = {Perimeter Institute}, year = {2019}, month = {oct}, note = {PIRSA:19100089 see, \url{https://pirsa.org}} }
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>.