Day 47 of #100DaysOfCode 🚀 Built a Student Performance Predictor using both Decision Tree Regressor & Classifier in Machine Learning 📊🎯 💾 GitHub Repo: https://t.co/M1ZiWqqsr5 #MachineLearning #Python #DataScience #100DaysOfCode

#AI content filtering creates safer online experiences by automatically detecting harmful material. ⚠️ Try the Classifier tool: https://t.co/s4N2WsWzXV

I just released my first app on the App Store! I made a mushroom classifier with DINOv3 and ported it to MLX Swift, meaning the model runs 100% locally. The classifier achieves impressive accuracy on mushrooms included in the dataset. This app is completely free and I have no

When you deploy an LLM-as-a-Judge, you’re shipping a classifier into production. Each new version is a hypothesis about how the model interprets the world. It’s data science, just expressed in natural language. Here’s what that looked like for a recent client project where we

Day 19: 30 days of n8n Built an AI workflow with human-in-the-loop: → Telegram message triggers → Classifier checks response → If edits needed → review agent steps in → Final approval via human Fast, accountable, and scalable. #AI #n8n #Automation #30daysofn8n

Day 128 of my AI journey spent whole day on HOML book and Python Libraries practice. Completed Chapter 2 (pending part) in HOML Part 1 (Machine Learning) Started Chapter 3 (Classification) MNIST Training a Binary Classifier - Measuring Accuracy using CV -Confusion Matrix

Received this milestone award from @OpenAI for passing 10 billion API tokens. This volume represents significant R&D investment in synthetic data generation, model drift detection and classifier testing. Looking forward to moving more of this work into production.

Ali Baran presented his work entitled: “FlowProt: Classifier-Guided Flow Matching for Targeted Protein Backbone Generation in the de novo DNA Methyltransfarase Family”

Patent classification drives smarter IP strategy. Join us on November 18 to learn how Innography AI Classifier helps IP teams benchmark competitors, uncover trends, accelerate commercialization and adapt strategy. Register now. https://t.co/nNVkhXBhtK #IntellectualProperty #IP

ICCTax: A Hierarchical Taxonomic Classifier for Metagenomic Sequences on a Large Language Model. #Metagenomics #LLMs #Genomics #Bioinformatics @BioinfoAdv https://t.co/W6KPanFXY8

🗞️ Time for the weekly @indexy_xyz product updates... Here is what we shipped this week: 🌎 World View We’re excited to roll out the first version of the world view. It uses an AI classifier to organize over 1,000 indexes into clear categories, narratives, and

Our method, DiffAdapt, ✏️adapts✏️ to this. How? No LLM fine-tuning needed. Instead, we train a tiny 'probe' (an MLP classifier) on the LLM's hidden states to predict the difficulty (Easy/Normal/Hard) before generation begins. Based on the prediction, it selects a specific

@hondelatte @GoyLivesMatter @Bruno_Attal_ Obscurantisme ridicule. Un réseau de neurones est capable de classifier les IRM des cerveaux des différentes races en analysant leur géométrie. La variation génétique inter-raciale concerne bien d’avantage le système nerveux central que la pigmentation de la peau.

Day 59 – Build an AI-Powered Email Classifier in Minutes This video walks you through building an AI email classifier using AI Builder and Outlook/Gmail. It solves the problem of messy inboxes by automatically sorting emails into custom folders and prepping draft replies for

So for the Day 44 I will add up reading the Article and Practicing the code for "Gradient Boosting Classifier" Anyone who is curious about learning more in depth of Gradient Boosting Classifier must read this article : https://t.co/DU0s1HGi1R Very Intuitive Article

Functional Effect Predictions For Ion Channel Missense Variants Using a Protein Language Model 1. A groundbreaking study introduces MissION, a novel machine learning classifier that predicts the functional effects of ion channel missense variants with remarkable accuracy. By

SPONSORED: Separating heavy product from light has never been easier, thanks to General Kinematics’ DE-STONER Air Classifier. Exceed your material sorting needs with General Kinematics’ DE-STONER today! https://t.co/Pl4fFnaP3H

Reasoning uncertainty is highly localized! Yes, only a few high-entropy tokens truly matter. Built on this insight from this paper, Minimal Test-Time Intervention (MTI) selectively applies classifier-free guidance and lightweight negative-prompt guidance only where needed,

was unable to escape b class. but we are improving. All Classifier Match at Richmond Rod and Gun Club