Computer Science

Computer Science is a relatively young discipline that has already had an outsized impact on the world. I view computer science as software and software systems; this includes their theory, design, development, and application. The following 'project' of computer science explains my journey through the fascinating and meaningful field of computers, software, and the rise of Artificial Intelligence (AI).

Project
AI/ML, Algorithms, Python
Start Date
06/2017
End Date
Present
Based In
Remote
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About

Artificial intelligence has become a common buzzword, especially in the startup community. I believe AI has the power to genuinely transform industries. Without a technical background, and the lack of depth in AI articles, I wanted to dive into the technical details to truly understand what AI and ML are all about. I am proud of a Machine Learning model I created through the completion of a Coursera class taught by Andrew Ng. While the model is nothing impressive (it classifies a cat with ~80% accuracy), it signifies a more significant effort. I had no formal coding experience prior to the class, but have a strong math background and naïve determination. I completed a 5-course Python specialization series to gain a fundamental and practical understanding of coding. I am proud of what the ML model represents: persistence and learning.

I continue to explore computer science as a whole through various avenues. Below are a handful of project or topics I've worked on that relate to computer science:

AI & Algorithmic Justice- In addition to understanding the technical details of AI, there are significant ethical implication. I explored this topic in an  (unpublished) article with Kevin Fraiser, Class of 2022 at UC-Berkeley School of Law.

Books-

  • Algorithms to Live By- "A fascinating exploration of how computer algorithms can be applied to our everyday lives, helping to solve common decision-making problems and illuminate the workings of the human mind". I read this book around the time I was fascinated with understanding the technical level of AI. 'Algorithms to Live By' shifted my perspective of how computers operate and the algorithmic approach to problem-solving. Amazon Link

Courses-

  • Neural Networks and Deep Learning by Andrew Ng & deeplearning.ai (Certificate)
  • AI For Everyone by Andrew Ng & deeplearning.ai (Certificate)
  • Divide and Conquer, Sorting and Searching, and Randomized Algorithms by Stanford University (Certificate)
  • Python for Everybody [five-course specificaliztion] by University of Michigan (Certificate)
  • Data Visualization and Communication with Tableau by Duke University (Certificate)
  • Mastering Data Analysis in Excel by Duke Unversity (Certificate)

CS Projects-

  • Data Science: Review of historical commodity prices in collaboration with a Bay-Area consulting firm to better understand my technical capabilities. The analysis was performed on the Kaggle platform and written in Python. See my 'Data Science' project for more information
  • Lifestack: A personal list of products and services that help individuals power their lives. After the inspiration of seeing a personal tech stack, I wanted to create a site for sharing and documenting consumer habits; thus Lifestack was born. See my 'Lifestack' project for more information
  • First personal site: My previous and first personal website was created from scratch (by me) using Tachyons and hosted on Github Pages. The site design is minimal, and CMS non-existent, but I am proud of the technical accomplishment. The site was late updated in November 2019. The legacy site can be found here: samcampbe11.github.io

Skills/Languages-

  • Python
  • HTML/CSS
  • SQL
  • Pandas (Python data science library)