Despite decades of research on the human brain, it is still one of the most primitive areas of understanding within all scientific disciplines. The brain is everso complex; the connections between different parts of the system create an interactive experience that guides abstract thought, intensive emotions, and rigorous decisions. The rudimentary framework of brain interlinkages has led to the emergence of advanced machine learning in computer science. Harnessing the power of computers to provide computations in a brain-like manner is getting increasingly efficient, helping to solve problems like never before.
I discovered machine learning when looking through my brother’s computer a few years ago. He was working on a project for one of his undergraduate courses and the term itself fascinated me. I knew about simple coding and had done some small projects, but such a complex topic gave me hope for far-reaching, future endeavors. Combine this with my love for biological systems and the brain: learning how living objects functions is fascinating and allows for deeper reflection into one’s own body. In AP Psychology, I learned all about the brain, neurons, and connections that make the brain so special.
The combination of these two interests instilled a fire within me that continues to burn to this day. Machine learning is sophisticated in itself, but my passion drives me to explore. I never expect to fully understand the concept; rather, the proposition of eternal learning makes the experience all the more gratifying.