Machine Learning Lecture

 Machine Learning

What is machine learning?

A subset of artificial intelligence (AI) that focuses on the development of algorithms and statistical models that enable computers to perform specific tasks without explicit instructions. Instead of being programmed to perform specific tasks, these algorithms learn from and make predictions or decisions based on data. 

To further our understanding, Dr. Schuman introduced us to Tensor Flow. The user draws a bit of the selected object, and then the machine completes the drawing.

I simply drew a vertical line, and then the application completed the rest of the drawing!

Lastly, she let us play around with Teachable Machine , in which we programmed our camera to distinguish things; in my case, my face from my water bottle.

Disha Javagal (left) and me (right) taking selfies through the application for funsies!

Relevance

I've previously blogged about bias within machine learning. Racial bias was especially prevalent within the Teachable Machine, as one of my friend's application assumed three differnent Indian girls (including me) as the same person. Simple activities such as these two websites emphasize the bias within machine learning. However, machine learning is still beneficial for automation of tasks and handling large amounts of data.