I have a degree in mathematics and currently work as a data scientist. While I’m comfortable with Python and core machine learning techniques, I’ve realized that I need to deepen my understanding of high-performance computing (HPC) and performance engineering in order to optimize my code for speed and scale up algorithms for large systems.Specifically, I’m interested in: * Writing...
I'm really interested in understanding how statistics and probability theory apply to sports, particularly in calculating odds (like in betting markets or predictive modeling). I'm not looking to gamble, I'm more interested in the math, models, and real-world data challenges behind it.Where would be a good place to start for someone with a general understanding of math and some programming...
Can you recommend good books (introductory and advanced level) or other resources to start learning more on physics of sailing: explanation of physical forces, maybe even with fluid dynamics. The more technical details the better!What can you say about "The Physics of Sailing Explained" by Bryon Anderson?
I am a ML engineer with a year of working experience. I have a fairly solid understanding of mathematics/statistics, classic machine learning algorithms, python libraries (numpy, scipy, scikit-learn, pytorch). I'm wondering what skills/libraries/frameworks/courses can you recommend to gain or improve for further career development as a ML engineer?