bladeeFAN

Hello I am Applying to ML masters for Autumn 2027, I also have a subfield / applied ml focus. Looking for feedback / if i am delusional. Undergrad: Computer science degree from top 100 college internationally, best in country Nationality - Eu citizen GPA: 4.05/4.2. Years 3-4, mostly A/A+. However gpa is only calculated from last 2 years so not knowing full transcript is relevant for masters year 1 i did not open a book and got mostly cs, year 2 i got mid grades first semester and also failed discrete maths, however i got all As the second semester. for example some maths grades since i think the more top tier programs care about them- Matrix Algebra (C), Foundations of Maths I (C+), Foundations of Maths II (B-), Failed Discrete Mathematics on first attempt, passed on repeat, Linear Algebra II (A+), Calculus II (A), Graphs and Networks (A), Probability (A+), Optimisation (A+), Machine Learning (A), Deep Learning (A), Information Theory (B+), Statistical Inference (A) Research: First-author paper at A tier conference internationally, thesis is being submitted to a national conference. Work Experience - FAANG six month internship, currently working at same company, normal software development, i also have cumulatively i think around 12 months of research intern / assistant type experience, both just at colleges no special places. Letters: I would say one very strong, one pretty good and one good / ok. I am looking at top tier programs like: KTH MSc Machine Learning, EPFL Data science masters, Edinburgh, Cambridge MPhil, ETH zurich, UCL machine learning masters However I'm wondering if i am delusional given my profile / I am wasting my money by applying?