Most powerful Minecraft exploit ever (Machine Learning & 1TB of leaked bases)
Today we will discuss how the most powerful exploit in server history caused the fall of Minecraft’s 2b2t, the oldest anarchy server in the game, and the fal…
Read more »Today we will discuss how the most powerful exploit in server history caused the fall of Minecraft’s 2b2t, the oldest anarchy server in the game, and the fal…
Read more »Buy The Mathematical Foundations of Machine Learning by Tornetta, Dr Gabriele Nunzio (ISBN: 9798739595126) from Amazon’s Book Store. Everyday low prices and free delivery on eligible orders.
Read more »Photos (on iOS, iPadOS, and macOS) is an integral way for people to browse, search, and relive life’s moments with their friends and family…
Read more »In the first year of my PhD, I started trauma recovery therapy to heal from domestic violence. It mostly consisted of something called “reprocessing sessions”; using a technique called EMDR we would revisit traumatic memories in my life, and try to figur…
Read more »Deploying ML models to the real world is prone to uncover domain coverage issues. Let’s robustify the models by generating unseen data!
Read more »In the first year of my PhD, I started trauma recovery therapy to heal from domestic violence. It mostly consisted of something called “reprocessing sessions”; using a technique called EMDR we would revisit traumatic memories in my life, and try to figur…
Read more »Image generation with VQGAN + CLIP Colab by Katherine Crowson & Tutorial by Sam King…
Read more »Interpretability in machine learning (ML) is crucial for high stakes decisions and troubleshooting. In this work, we provide fundamental principles for interpretable ML, and dispel common misunderstandings that dilute the importance of this crucial topic….
Read more »There has always been a census undercount because some people are hard to locate, contact, and interview. Read here how OmniSci is used to visualize a massive GPS mobility dataset, correlate the observations with historical censuses, and then predict cens…
Read more »This summer I’ve been competing in the SLICED machine learning competition, where contestants have two hours to open a new dataset, build a predictive model, and be scored as a Kaggle submission. Contestants are graded primarily on model performance, but …
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