data science

"Now we are working on a refactor of a package that is being done 100% with Generative AI, but it's making so many mistakes and it miss understood the purpose of the project so bad that the package is unusable, but my boss keeps saying "don't code, just ask Generative AI"."

"ChatGPT's answer is that modern experts are advancing the depth of analysis in the following layers."

"We propose the Volterra signature $\mathrm{VSig}(x;K)$ as a principled, explicit feature representation for history-dependent systems."

"The time series trend component represents a persistent and long-term change in the mean of the series."

"From my understanding, the act covers a broad range of models as high risk (https://artificialintelligenceact.eu/annex/3/), including credit scoring and insurance pricing, and imposes a very high standard for developing and maintaining those models."

"I want to break into the AI/Deep Learning space."

"Built neuprise.com over the past few months. It covers Python basics through deep learning, Bayesian methods, and kernel methods — about 74 lessons and 1000 quiz questions."

"The confusion matrix (Confusion Matrix) is a 2x2 table that summarizes the model's prediction results and actual labels, allowing you to grasp the details of what errors are being made."

"This time, I would like to try to visualize the clusters with many visits using AI/BI."

"When an event x occurs with probability p(x), its self-information (surprisal) is: I(x) = -log2 p(x) [bit]"

"People often say “learn Python”. What confused me early on was that Python isn’t one skill you finish. It’s a group of tools, each meant for a different kind of problem."

"People often say “learn Python”. What confused me early on was that Python isn’t one skill you finish. It’s a group of tools, each meant for a different kind of problem."

"We prove that $L_{\text{NS}}$ is strictly consistent for an elicitable and identifiable multi-dimensional functional, which we name the Nash-Sutcliffe functional."

"This makes me wonder if the ideal candidate in today’s market is someone with strong subject matter expertise, and coding skill just needs to be average rather than exceptional."

"Are you using it as a thought partner? Are you using it to debug and write short blocks of code via a browser? Are you using and directing AI agents to write completely new code?"

"Overall, I think it went not so good, the hardest part was not ML itself but discussing particular difficulties and edge cases of the product."

"In production-oriented roles, what really matters is understanding models at a conceptual level, building solid pipelines, validating properly, avoiding data leakage, and being able to deploy systems using tools like Docker, APIs (FastAPI or Flask), CI/CD, and cloud platforms."

"Assuming your not pushing a model into production or anything, and just want to build as good of a model as possible, what’s the process look like?"

"So now i am in a dillema."

"the idea is building some kind of AutoML platform where i give the dataset as input followed by a natural language text precising the user goal, for example price prediction, image classification.."

"As a result, the Marcel method outperformed ML."

"Each one solves a specific class of problems that appear again and again in modern data and machine learning workflows."

"But now, that premise is changing. With the emergence of LLMs."

"AI is capable of finding significant differences and hiding non-significant results."

"The competition's task was to guess the source material of fictional works (movies, anime, manga) from a combined synopsis."

"Free tutorial on Machine Learning Projects (End to End) in Apache Spark and Scala with Code and Explanation"

"i am a complete noob in terms of ai ml, and python for data science(ik python in general). and sir always says that labs are options, just have fun with it, run the code and see what the results are, so are the codes in the lab not important?"

"I am not sure how to confidently answer students when they ask about job security. i don't want to scare them."

"What I found shocked me...."Data Scientist" is the worst-paying title in ML/Data:"