🧩 [R TIP] – Modelado ordenado y reproducible con {tidymodels} ¿Entrenás modelos en R y te cuesta mantener un flujo claro, ordenado y replicable? {tidymodels} es el framework definitivo para estructurar todo el proceso de machine learning con la filosofía tidyverse. Con un conjunto coherente de paquetes, te permite: ✨ Preprocesar datos (recipes) ✨ Especificar modelos de forma unificada ✨ Entrenar y validar con resampling robusto ✨ Ajustar hiperparámetros con workflows ✨ Comparar modelos, registrar métricas y repetir todo de forma reproducible Funciona tanto para modelos clásicos (logísticos, random forest, boosting) como para frameworks modernos, y lo mejor: con la misma sintaxis limpia y predecible en todos los casos. Si querés pasar de scripts desordenados a un proceso sólido “de punta a punta”, {tidymodels} te cambia el juego. Es el sistema que usan hoy miles de equipos para garantizar consistencia y calidad en entornos reales. 🔗 Documentación oficial: tidymodels.org/ #RStats #Rtips #tidymodels #MachineLearning #Tidyverse #DataScience #MLWorkflows #Reproducibilidad

Introducing @withneo: The First Agentic ML Engineer! Tired of piecing together code snippets from copilots? They’re like bringing a knife to a gunfight—wrong tool for ML workflows. NEO changes everything. Powered by 11 specialized agents, NEO thinks, learns, and executes like a human engineer, automating ML workflows end-to-end. From data cleaning to deployment, it’s got you covered. Why NEO? Plugs into n8n, Snowflake, Databricks, BigQuery, and more. Reduces grunt work by 90%, saving thousands of hours. Builds models in hours, not months—think Kaggle Grandmasters 24/7 at a fraction of the cost. Outperforms Microsoft’s RD Agent (22%) and OpenAI (16.9%) with ~34% benchmark lead. Adapts to your expertise: Drag, drop, and NEO evolves with your knowledge base. With only 300k ML engineers globally and demand 10x higher, NEO fills the gap. It’s not a coding bot—it’s a multi-agent system with its own reasoning engine, minimizing hallucinations and maximizing innovation. The future? AI generates, humans validate. NEO makes ML engineers superhuman. Join the waitlist: heyneo.so/waitlist Let’s build faster and solve humanity’s biggest problems together! #MachineLearning #AI #NEO #AgenticAI #MLWorkflows Follow us: @heyneo_so

🧠 Can AI Agents Compete in Real Data Science? AUTOMIND Says Yes. AUTOMIND is a next-gen agent framework designed to automate end-to-end data science workflows — and it’s already outperforming humans on Kaggle-style benchmarks. 🔍 What’s New in AUTOMIND: ♦️ Expert-Guided Reasoning AUTOMIND integrates a curated knowledge base built from Kaggle winning solutions and top ML papers, helping the agent reason like a seasoned data scientist. ♦️ Agentic Tree Search Rather than follow rigid workflows, the agent uses a tree-based search to explore multiple solution paths — drafting, improving, and debugging code iteratively. ♦️ Self-Adaptive Coding The agent doesn’t rely on one-shot generation. It dynamically chooses between writing code all at once (for easy tasks) or breaking it into verifiable substeps for complex ones. 📊 Results that Speak: On the MLE-Bench leaderboard, AUTOMIND beats 56.8% of human participants, outperforming the previous SOTA by 13.5%. It also shines in top-tier AI competitions like KDD and NeurIPS — with up to 300% test-time efficiency gains and 63% reduction in token costs. 🎯 Why It Matters: As LLM agents move from toy demos to real-world tasks, frameworks like AUTOMIND offer a glimpse into how AI can collaborate with domain expertise, adapt coding strategies, and reason over structured solutions — pushing us closer to autonomous scientific discovery. To learn more: hubs.la/Q03s7kRg0 AIAgents #DataScienceAI #AgenticAI #MLWorkflows #AIResearch #KaggleAI #SelfAdaptiveAI

#125 NEO: Automating Machine Learning Workflows for a Smarter Future #NEO #MLWorkflows #AI #DataScience #MachineLearning #DataScienceDemystifiedDailyDose linkedin.com/pulse/125-neo-a…

Best #GoogleSheets Add-Ons and Extensions for 2024 bardeen.ai/posts/google-shee… #MachineLearning #MLPlatforms #AddOns #BigML #MLworkflows #NoCode

#BigML integrations with @integromat : Send a #slack message when a new #prediction is created. integromat.com/en/integratio…… #Automation #NoCode #LowCode #MLworkflows #MLadoption #MLplatform #MLapps #MachineLearning #Integrations #Developers

Bring the power of #MachineLearning to the #InternetofThings with the BigML Node-RED Integration! bigml.com/tools/bigml-node-r…… Easily integrate the #BigML platform into #NodeRED and make your #IoT devices learn from their environment #MLworkflows #MLapps #MLplatform #NoCode

#MachineLearning automation without coding using the BigML Zapier App! bigml.com/tools/bigml-zapier… #NoCode #MLapps #Apps #MLapplications #Zapier #PredictiveModels #PredictiveApplications #MLplatform #MLadoption #ML #MLautomation #Automation #MLworkflows

No-Code #ObjectDetection: Easily Tackling #ImageData-Driven #UseCases blog.bigml.com/2022/06/14/no… Discover the limitless #applications for Object Detection! #MachineLearning #BigML #MLplatform #NoCode #MLadoption #MLapps #MLworkflows #Automation #MLanalysts #ComputerVision

Bring the power of #MachineLearning to the #InternetofThings with the BigML Node-RED Integration! bigml.com/tools/bigml-node-r… Easily integrate the #BigML platform into #NodeRED and make your #IoT devices learn from their environment #Bindings #MLworkflows #MLapps #MLplatform #NoCode

#MachineLearning Operations made easy! bigml.com/bigmlops/ Build, deploy, and operate the most advanced #MLworkflows at #scale. #BigMLOps gives you all the #traceability, #reproducibility, and #scalability required by the most stringent #enterprises. #MLOps #MLadoption

#BigML integration with Integromat See how you can automatically send a #slack message when a new #prediction is created. integromat.com/en/integratio… #Automation #MLworkflows #MLplatform #MLapps #MachineLearning #Developers

#MachineLearning Operations made easy! bigml.com/bigmlops/ Build, deploy, and operate the most advanced #MLworkflows at #scale. #BigMLOps gives you all the #traceability, #reproducibility, and #scalability required by the most stringent #enterprises. #MLOps #MLadoption

Bring the power of #MachineLearning to the #InternetofThings with the BigML Node-RED Integration! bigml.com/tools/bigml-node-r… Easily integrate the #BigML platform into #NodeRED and make your #IoT devices learn from their environment #Bindings #MLworkflows #MLapps #MLplatform #NoCode

#MachineLearning Operations made easy! bigml.com/bigmlops/ Build, deploy, and operate the most advanced #MLworkflows at #scale. #BigMLOps gives you all the #traceability, #reproducibility, and #scalability required by the most stringent #enterprises. #MLOps #MLadoption

No-Code #ObjectDetection: Easily Tackling #ImageData-Driven #UseCases blog.bigml.com/2022/06/14/no… Discover the limitless #applications for Object Detection! #MachineLearning #BigML #MLplatform #NoCode #MLadoption #MLapps #MLworkflows #Automation #MLanalysts #ComputerVision

We covered this and much more at the webinar that we co-hosted with @SnorkelAI last Thursday titled, Building a Data-Centric End-to-End MLOps Workflow.🐙 Watch the webinar recap here: bit.ly/3xUh4h8 #MLOps #mlworkflows

Programmable #ObjectDetection, Fast and Easy! blog.bigml.com/2022/06/21/pr… Learn how to perform Object Detection by calling the BigML REST API. #MLapps #MachineLearning #BigML #MLplatform #Developers #API #MLadoption #MLworkflows #Automation #MLengineers #ImageData #ImageProcessing

Democratizing #ObjectDetection: Easily Locating Items with just a Few Clicks! youtu.be/NtfU690O9oY Find objects & annotate #regions in your #ImageData, train & evaluate #MLmodels, make #predictions, #automate end-to-end #MLworkflows. All in a single #MLplatform with #NoCode!

Want to ensure reproducibility and collaboration in your ML workflows while scaling? Learn how with @anyscalecompute and @wandb on January 19th at 10 am PT. Register now: ow.ly/zR3E30stwOT #MLWorkflows #ModelTracking