Mathematician

Just finished the last assignment of Week 4 - PCA  :)

This course was the hardest of the whole Mathematics for Machine Learning specialization but also the most useful of all 3 courses.

I truly enjoyed and will continue studying PCA in-depth as I think it's a useful technique everyone who studies ML should know about it.

Checkout my certificate: https://www.coursera.org/account/accomplishments/specialization/certificate/B5VANAZBL8PG

#ProudMoment :) 

Completed group seminar project as part of final year of degree programme, investigating applications of Monte Carlo methods in two contexts: estimating the value of a call option modeled by Brownian motion, and estimating the distribution of a particle in a given Langevin field

Implementations were mainly done in MATLAB to compare performance

Final report was compiled in LaTeX

Graduated with Bachelor of Science (Honours) in Applied Mathematics, specializing in Mathematical Modelling & Data Analytics

Yet more `Calculus Made Easy`.  Always a chore to get myself to start but generally a pleasure to do.

Slowly working my way through Calculus Made Easy and shaking the dust off of my high school math muscles.  Why wasn't it this fun to learn this stuff back then?

Completed first-year subjects for a Bachelor of Science degree in Mathematics and Computers. Loved learning to code