Students will explore cybersecurity and the vulnerabilities equity process (VEP) to learn how the government uses information acquired for cybersecurity purposes.
The Ignited summer fellowship at Stanford enabled me to jumpstart my knowledge and curriculum development towards developing autonomous vehicles control systems.
Students will use Python and a known algorithm to produce a solution using Linear Regression to predict an Artificial Intelligence (AI) solution in either Education, Music, Credit Card Fraud, or Sports.
At the Shaqfeh Lab, I worked on creating a robot that could easily move through non newtonian fluid. A non newtonian fluid is any type of fluid (gas or liquid) that does not behave like water, i.e. corn syrup, synovial fluid, molasses.
This ETP outlines a three-day lesson, consisting of one 55-minute and two 102-minute block periods, centered around the analysis of audio data.
Given the rise of information and data in today’s world, we need various methods and approaches to analyze them, whether it is to make predictions from given information or to categorize them into different groups based on observed trends.
Major advancements in computer programming are pushing machine learning practices to the forefront of big tech industry standards.
An invaluable exercise for beginner programming students is to teach them new ways to think. This lesson was written with the intention of introducing students to machine learning using image classification. Complexity has long been a barrier to exposing students to artificial intelligence.
In the ideal math world, we are able to write a single equation that can perfectly model a situation. However, if we collect actual data from the real world, we will almost always not be able to write one equation that will completely match the data.