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SJSU Faculty Member

Vishnu Pendyala

Course

Machine Learning

Description

Machine Learning is advancing civilization and is one of the key drivers of the economy today. Machine Learning literacy may one day become essential, the way computer literacy is today. This talk intends to explain Machine Learning concepts to wider audiences by using easy-to-relate real-world analogies and serves as a refresher to those already initiated. A fundamental concept in machine learning is similarity. The dot product that is ubiquitously present in machine learning is a measure of similarity. Similarity is key to human learning as well. We learn in delta increments by comparing and contrasting with what we already know. Analogies or similarities help.

Machine learning is an exciting field for many, but the rigor, math, and its rapid evolution are often found to be formidable, keeping them away from studying and pursuing a career in this area. This talk will use similarity to explain the underpinnings of machine learning to those who want to get insights into machine learning and data science. A number of concepts, techniques, and algorithms in machine learning are explained, relating them to real-world analogies in a way that audiences with little or no background in the area will also be able to appreciate. More details: https://events.vtools.ieee.org/m/315186 Video Recording: https://ieeetv.ieee.org/video/meta-algorithms-in-machine-learning

Publication Date

Summer 6-14-2022

Document Type

Presentation

Keywords

Machine Learning, Fairness, Artificial Intelligence, Generative Adversarial Network, GAN, CycleGAN, Music, Generative AI, Adversarial training, Inductive programming

Disciplines

Computational Engineering | Computer Engineering

Creative Commons License

Creative Commons License
This work is licensed under a Creative Commons Attribution-No Derivative Works 4.0 License.

Machine Learning, the mortar of modernization

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