#mlmodels search results
I had this idea about a new topic when I read through some whitepapers about computer vision. You see traditional model development and how singular the past was when it comes to model training, one per use case, and each one needed its own unique training and data #mlmodels
🚨 Happening tomorrow at @MLOpsWorld in Austin, TX - JFrog Solutions Architect Hudson Buzby will show how JFrog’s new AI Catalog enables you to: ✅ Govern which #MLModels your teams can use ✅ Enforce dynamic policies at scale ✅ Stay compliant while innovating faster Open…
Be a Spock when training machines to think, understand and generate new ideas (#MLModels). I have been knee deep inference. #Ai
We continue to share short videos from Serokell's experts. Today, our #AI Team Lead, Ivan Smetannikov, gives a sneak peek into his personal top 5 #MLmodels and explains why they stand out.
#MLmodels #testing #LLM #GenAI #machinelearning #TrustEverybodyButCutTheCards This: github.com/Giskard-AI/gis… On #ExplainableAI, #bias etc: linkedin.com/posts/francesc…
8️⃣ Model Persistence Train once, save forever! You can store your trained models and reload them later using joblib. Save time Reload instantly Reuse across projects #Python #MLModels 9️⃣ Train and Predict Make predictions right after training — clean and fast. ✅ Instant…
Watch Mia Garrard, Research Scientist from @AIatMeta present on building Scalable End-To-End ML Platforms. Recorded at The AI Conference. #MLops #MLmodels #meta #productionAI
Costs of #Turnover can vary but have been estimated to be between 50% & 200% of someone’s salary 🤯, per Gallup and other industry stats. See how Medtronic HR data scientists use #MLModels in Dataiku to support talent management teams to ⬇️ turnover: | bit.ly/3TRoRbC |
From local development to cloud solutions, our newest Tech Talk unveils the art of containerizing #MLmodels. 📦 Streamline workflows, reduce dependencies, and boost collaboration. Watch it now and transform your AI game! #MachineLearning youtube.com/watch?v=zVJeVX…
Kumo is the easiest and fastest way to build highly accurate ML models so you can get more models into production. #WhyKumo Request a demo and query the future: hubs.ly/Q02xGkx70 #MLModels #Efficiency #KumoAI
From Google to Meta models, Planck supports them all! Customize and deploy any AI model on our decentralized platform. #AI #Tech #MLModels
🚨 New Integration: JFrog Artifactory now integrates w/ the #OSS platform, @MLflow! Store & manage your ML model experiments in a single source of truth, while ensuring the secure deployment of #MLModels into your production environments. Learn more: jfrog.co/44nYQEj
How many barrels are we leaving behind by relying on averages? In this episode of The #NoviAIRoundup, we explore how #engineeringteams are using bottoms-up #MLmodels to evaluate #MidlandBasin development scenarios well by well, not zone by zone, or county by county. From subtle…
10 models are better than 1. Why rely on a single model when you can combine many? Learn how techniques like bagging, boosting, and stacking can boost accuracy and performance. Check the slides to find out how. #machinelearning #mlmodels #datascience #dataengineer #ai
At Xorbix, we don’t do one-size-fits-all AI. We build custom machine learning models tailored to your business, your data, and your goals. 🔗 Contact us now: buff.ly/i2as8XC #MachineLearning #ArtificialIntelligence #MLModels #CustomAI #PredictiveAnalytics #DataScience
Looking to manage #MLmodels in your #DevOps pipeline? Join JFrog & Qwak on Tuesday, April 2nd at 9am PT to learn the best practices for bridging the gap between traditional software CI/CD and the emerging demands of MLOps. Register now: jfrog.co/4awjVhR
Big news 🚨 We just launched a brand-new #podcast at Novi Labs. And yes, it’s fully powered by #AI. For years, we’ve been publishing technical papers, running basin studies, and building #MLmodels with operators across North America. Now, we’re turning that field-tested…
🚨 COUNTDOWN: 2 HOURS until... The new JFrog integration w/ Amazon SageMaker webinar! 😎 Learn how to use the integration to leverage #MLmodels in the #cloud starting at 10am PT / 1pm ET TODAY. Grab a seat: jfrog.co/3Hkflqn
Training #MLmodels on #bigdata goes beyond fitting - it's about streamlining the entire process. And we know how to reduce pivoting time 😎 Read more here ➡️bit.ly/3FkHqQR #Snowflake #Python #Azure #MachineLearning
8️⃣ Model Persistence Train once, save forever! You can store your trained models and reload them later using joblib. Save time Reload instantly Reuse across projects #Python #MLModels 9️⃣ Train and Predict Make predictions right after training — clean and fast. ✅ Instant…
#Edgecases or missing real-world data breaking your #MLmodels? Try this 👇 Generate privacy-safe synthetic data from #SyncoraAI and train your #AI for edge cases ✨ License your #syntheticdata on-chain and earn credits while fueling the next generation of AI🚀 Start here:…
app.syncora.ai
Syncora
Empowers unified collaboration among all users in AI development. This repository contains the frontend application built with React and TypeScript, offering synthetic data generation, data labeling,...
🚨 Happening tomorrow at @MLOpsWorld in Austin, TX - JFrog Solutions Architect Hudson Buzby will show how JFrog’s new AI Catalog enables you to: ✅ Govern which #MLModels your teams can use ✅ Enforce dynamic policies at scale ✅ Stay compliant while innovating faster Open…
Personal #Bitcoin strategy with my #MacBookProM4 Max chip. I run #MLmodels, #LSTM/#XGBoost for price forecasting, backtest with #Backtrader/#Freqtrade, optimize portfolios via #Markowitz/#CVaR, and simulate scenarios. Leveraging GPU & Neural Engine for parallel computation.
Over centuries, India lost thousands of Hindu temples to foreign invasions & colonial rulers: Arabs, Persians, Mughals, Portuguese & British. Exact numbers debated (est. 40,000 vs 80–132). Efforts now rebuild & preserve heritage. #TempleRestoration #India #MLModels #AI
How many barrels are we leaving behind by relying on averages? In this episode of The #NoviAIRoundup, we explore how #engineeringteams are using bottoms-up #MLmodels to evaluate #MidlandBasin development scenarios well by well, not zone by zone, or county by county. From subtle…
Your ML model is accurate but painfully slow. What would you drop: speed or accuracy? 👉 Read the full blog by Aadeel Aslam, Lead Staff Engineer at Arbisoft, to see how we achieved both: f.mtr.cool/kzamyfigtr #MachineLearning #MLModels #AIOptimization #ArbisoftBlogs
I had this idea about a new topic when I read through some whitepapers about computer vision. You see traditional model development and how singular the past was when it comes to model training, one per use case, and each one needed its own unique training and data #mlmodels
🚨 Happening tomorrow at @MLOpsWorld in Austin, TX - JFrog Solutions Architect Hudson Buzby will show how JFrog’s new AI Catalog enables you to: ✅ Govern which #MLModels your teams can use ✅ Enforce dynamic policies at scale ✅ Stay compliant while innovating faster Open…
Be a Spock when training machines to think, understand and generate new ideas (#MLModels). I have been knee deep inference. #Ai
#MLmodels #testing #LLM #GenAI #machinelearning #TrustEverybodyButCutTheCards This: github.com/Giskard-AI/gis… On #ExplainableAI, #bias etc: linkedin.com/posts/francesc…
From Google to Meta models, Planck supports them all! Customize and deploy any AI model on our decentralized platform. #AI #Tech #MLModels
From local development to cloud solutions, our newest Tech Talk unveils the art of containerizing #MLmodels. 📦 Streamline workflows, reduce dependencies, and boost collaboration. Watch it now and transform your AI game! #MachineLearning youtube.com/watch?v=zVJeVX…
🚨 New Integration: JFrog Artifactory now integrates w/ the #OSS platform, @MLflow! Store & manage your ML model experiments in a single source of truth, while ensuring the secure deployment of #MLModels into your production environments. Learn more: jfrog.co/44nYQEj
How many barrels are we leaving behind by relying on averages? In this episode of The #NoviAIRoundup, we explore how #engineeringteams are using bottoms-up #MLmodels to evaluate #MidlandBasin development scenarios well by well, not zone by zone, or county by county. From subtle…
🚀 Take control of your #MLOps journey: Build, manage, and scale your #MLModels your way with the JFrog Platform. 🔗 Read more: jfrog.co/3EgxCGA
Time series forecasting, which method should you use? ARIMA? Prophet?LSTMs? Let’s find out! 👇 #machinelearning #mlmodels #datascience #dataengineering #forecasting
The AI Breakthrough We’ve Been Waiting For – Meet DeepSeek 🤖 medium.com/@mail_18109/de… #DeepSeek #MLModels #TechBreakthrough #ArtificialIntelligence #AIDevelopment #FutureTech #SmartTechnology
8️⃣ Model Persistence Train once, save forever! You can store your trained models and reload them later using joblib. Save time Reload instantly Reuse across projects #Python #MLModels 9️⃣ Train and Predict Make predictions right after training — clean and fast. ✅ Instant…
Looking to manage #MLmodels in your #DevOps pipeline? Join JFrog & Qwak on Tuesday, April 2nd at 9am PT to learn the best practices for bridging the gap between traditional software CI/CD and the emerging demands of MLOps. Register now: jfrog.co/4awjVhR
🚨 COUNTDOWN: 2 HOURS until... The new JFrog integration w/ Amazon SageMaker webinar! 😎 Learn how to use the integration to leverage #MLmodels in the #cloud starting at 10am PT / 1pm ET TODAY. Grab a seat: jfrog.co/3Hkflqn
Kolena holiday poems, day 2: In holiday cheer, Kolena appears bright, Automating ML testing with festive light. Identifying model regressions in a quick array, A gift for teams to ensure a merry holiday. #machinelearning #ml #mlmodels #holidaycheer
10 models are better than 1. Why rely on a single model when you can combine many? Learn how techniques like bagging, boosting, and stacking can boost accuracy and performance. Check the slides to find out how. #machinelearning #mlmodels #datascience #dataengineer #ai
📣Deal of the Day📣 Apr 1 SAVE 45% on Software Engineering for Data Scientists & selected titles: mng.bz/WrEx Easy-to-learn & apply #softwareengineering techniques will radically improve collaboration, scaling & deployment in your #datascience projects. #MLModels
Lagrange Space is an innovative platform for developers and tech enthusiasts who want to create and share #MLmodels, #tools, #games and #dApps in a dynamic web environment. Powered by @swan_chain How does it work? Let's dive in. 🧵👇
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