...When analyzing data sets and running statistical tests, I prefer to use R over Python (which I *do* use just as much), since the built-in toolset for R facilitates this much more easily, e.g., summary(lm(y ~ x, dat)) as opposed to having to import the "statsmodels" package in python (which I can ... (read more)
...His work includes developing a drone swarm algorithm based on slime mold behavior, improving ion source designs for isotope separation, and advancing microsupercapacitors for energy storage. He is currently a Ph.D. student in Physics at UT Austin, pioneering multi-resonant laser isotope separati... (read more)
...Native English speaker with experience teaching English to non-native and native speakers. Probability is the branch of mathematics designed to answer questions under uncertainty. It is an important field relevant to my everyday life in my profession as a data scientist. (read more)
...Additionally, I have a deep understanding of AI, deep learning, and statistical methods, making me well-equipped to teach complex concepts to students. My passion for teaching, coupled with my extensive research background, enables me to provide comprehensive and engaging tutoring sessions. I a... (read more)