Splash Biography



DAVID MORLEY, ESP Teacher




Major: UCLA

College/Employer: Not available.

Year of Graduation: 2022

Picture of David Morley

Brief Biographical Sketch:

UCLA computer science and engineering major interested in NLP, robotics, control theory, and better understanding how our fascinating world works!



Past Classes

  (Clicking a class title will bring you to the course's section of the corresponding course catalog)

X572: How to Build Meaningful Relationships: Personal and Professional in Rainstorm Fall 2020 (Dec. 05 - 06, 2020)
“It’s not about what you know, it’s about who you know.” Put simply, relationships are your key to success. Oftentimes, reaching out to that individual who fascinates you can be the hardest step, but also the most rewarding. Learn all about how to start and develop meaningful relationships to expand your network and make lifelong friends, so you reach fulfillment in every aspect of your social/professional life.


M574: Natural Language Processing (How Siri, Google Translate, Alexa, etc. work) in Rainstorm Fall 2020 (Dec. 05 - 06, 2020)
This class will cover some of the techniques that are used in natural language processing (word vector/character models, etc) and also provide a brief interlude into machine learning. Everyone should be able to get something out of this course no matter their skill set. For those who want to get the most out of the course it might be helpful to have a minor background in neural networks/machine learning to give context to the ideas presented, for this introduction I would recommend the series by 3Blue1Brown on the topic at: https://www.youtube.com/watch?v=aircAruvnKk


M415: Natural Language Processing (How Siri, Google Translate, Alexa, etc. work) in Rainstorm Spring 2020 (May. 30 - 31, 2020)
This class will cover some of the techniques that are used in natural language processing (word vector/character models, etc) and also provide a brief interlude into machine learning. Everyone should be able to get something out of this course no matter their skill set. For those who want to get the most out of the course it might be helpful to have a minor background in neural networks/machine learning to give context to the ideas presented, for this introduction I would recommend the series by 3Blue1Brown on the topic at: https://www.youtube.com/watch?v=aircAruvnKk