@Timo

Dear Folks, I have created multiple content on Machine Learning(work in progress), and they are free. I am a data scientist and a post grad degree holder in AI/ML. To help the machine learning community with important Machine Learning Concepts, I have created multiple long form videos, and structured topicwise digestible contents structured as playlists for learning. If you go through the first two playlists: Introductory Machine Learning Concepts Probability Foundations: Univariate Models You might find helpful content, I have tried explaining with intuitions, derivations, and this is work in progress. For code implementations, scikit learn website has great content on them as well. In total they have 60+ topicwise videos so far, and I think they have the potential to help folks a lot in starting with concepts, or getting with mathematical concepts, or whether you are preparing for an AI/ML/Data job interviews etc. When I sat for my interviews, I was grilled on my project, but majority of questions from my project tested more on foundational concepts and there know how’s. These are FREE content on youtube, and hope it benefits and helps the ML community. submitted by /u/Negative_War_65 [link] [Kommentare]

Been spending a stupid amount of time on repetitive on-chain stuff lately like monitoring lending positions, chasing yields, revoking approvals, watching wallets, rebalancing across ETH/SOL/Polygon. None of it is hard. It's just tedious and time-consuming. There are point solutions for some of this but I haven't found anything that lets you just... wire things together yourself. Like: Wallet receives USDC -> Telegram ping Contract emits an event -> trigger a follow-up transaction APY on protocol A drops below B -> move funds Gas below X -> execute pending tx Curious if other people do this manually too or if I'm missing something obvious. What do you actually repeat the most? Is there a demand for such a platform? submitted by /u/c0m94d3 [link] [Kommentare]

as in the title, my goal is to predicting failure and RUL of machine, dataset is timestamp and when machine is failure it will labeled with 1 that only have 56 https://preview.redd.it/plbydmenmm6h1.png?width=1205&format=png&auto=webp&s=2fefe3cc2e3fe554b81c9e0b4012c5345e73ec3f From this data im ditching operating hours and humidity because it didnt show correlation for machine failure, what algorithm or deeplearning suit for it? submitted by /u/False-Seesaw-1899 [link] [Kommentare]

A researcher claims he has already bypassed Claude Fable 5’s safety filters, exposing flaws in Anthropic’s guardrail system using multi-step AI prompts.