AI II: Machine Learning, NLP, and Knowledge Representation β Course Notes
Notes from my AI II course at UCM: clustering, decision trees, neural networks, NLP with n-grams and TF-IDF, semantic networks, ontologies in OWL, and SPARQL queries.
I'm a Spanish Born Chinese (SBC) πͺπΈπ¨π³ & Third Culture Kid.
I love building software π», exploring emerging markets π, and creating content πΉ.
Currently, a MSc Computer Science student at UvA & VU π³π±, and a Software Engineer by heart β€οΈ.
Also, I'm a Content Creator with 46k+ followers across YouTube, Instagram & TikTok, where I share insights about Asian culture.
I like participating in hackathons and developing personal projects to sharpen my problem-solving and coding skills.
If you're working on something exciting, let's βοΈ chat!
itslubin [at] icloud.com
Notes from my AI II course at UCM: clustering, decision trees, neural networks, NLP with n-grams and TF-IDF, semantic networks, ontologies in OWL, and SPARQL queries.
Notes from my Software Engineering II course at UCM: MVC, creational patterns (Factory, Builder, Singleton), structural patterns (Decorator, Adapter, Proxy), and behavioral patterns (Observer, Strategy, Command).
Notes from my Concurrent Programming course at UCM: process synchronization, atomic actions, locks, barriers, semaphores, monitors, and message passing β with code examples throughout.
Notes from my Probability and Statistics course at UCM: descriptive statistics, combinatorics, probability axioms, random variables, and key distributions from Binomial to Normal.