stataholic

Every {}, "field", :, and comma in JSON becomes tokens. LLMs tokenize JSON poorly, inflating both latency and API cost. TOON removes the noise and keeps only the meaning. #ToonStream

Meet Toonstream, the library that implementing TOON (Token-Oriented Object Notation) — a serialization format built to make structured LLM inputs far more token-efficient than JSON. ! pip install toonstream #LLM #AiAgents

LLMs aren’t expensive. Your JSON is. Switching from JSON → TOON cuts token usage by: 55% on flat data 38% on arrays 15% on nested objects Here’s why this matters — and how much you can save. 👇 #LLM #AI #AGENTS #RAG

Update: 49/52 shots have an xG value of 7% or less

Tuesday is the new friday.

Wowwwwww 🤩 twitter.com/_figensezgin/s…

I have a classification problem, and XGBOOST is the best model. I have calibrated the model outputs as well and saved both the models. Say, I am creating a pipeline to predict for future values. Which model should I use? Normal or calibrated model ? @tunguz #DataScience

`plt.subplot_mosaic(...)` is the single-most amazing @matplotlib function I'd never heard of 😍🤓🌍 Can't believe I've used Python for more than a decade and only just discovered it! Subplots will never be the same again 🌟 #matplotlib.pyplot.subplot_mosaic" target="_blank" rel="nofollow noopener">matplotlib.org/stable/api/_as…

@haltakov evaluation metric is totally depend on the type of data we have. If it's balanced data, we can use accuracy. If it's imbalance, we can either use precision or recall depends on the use case.

How to evaluate your ML model? 📏 Your accuracy is 97%, so this is pretty good, right? Right? No! ❌ Just looking at the model accuracy is not enough. Let me tell you about some other metrics: ▪️ Recall ▪️ Precision ▪️ F1 score ▪️ Confusion matrix Let's go 👇 #RepostFriday

@tunguz How to become a Data Scientist in one month ?

Offend a Data Scientist in one tweet.

@StatsBomb Are you guys doing it virtual .?

ANNOUNCED: The #StatsBombConference Live-Stream Schedule! We want to make the Conference accessible to the wider community, so we'll be streaming some of the talks LIVE from Stamford Bridge We'll post the stream link on Twitter tomorrow morning prior to the event 🎥

Python 3.10 is out, every damn programmer is in love with the new structural pattern matching. But for anyone teaching python out there, the new error messages are what's up. (Before/After)

How to convert Multi-Class text classification to Multi-label text Classification?? #DataScience #NLP #Deeplearning

Is there any pre-trained model or library for Entity based / aspect based sentiment analysis? #NLP #DataScience #MachineLearning

@micaleel yes. kinda

Is there anyway to calculate sentiment score other than Text Blob, vader, Flair? #NLP #MachineLearning #Python

Ecstatic to announce that I have joined Forbes as a Data Scientist. I am blessed to have landed in 5 offers (Data Scientist, MLE) from 1000+ applications, 30+ recruiter calls, 20+ technical interviews, 15+ Online assessments & 10+ final rounds. #DataScience #machinelearning

slacking a coworker during a meeting and watching them have to suppress a laugh is my absolute greatest joy

how to do regression with only categorical variables python ?? #MachineLearning #DataScience

He had such a good hand writing #Physics #CVRaman