Filter
Exclude
Time range
-
Near
Explore the precision of manual tuning, minus the manual part. 🔹 Available on AWS (@AWS_Partners): hubs.li/Q03T3Yj00 #ModelTuning #MachineLearning #NoCodeAI #MLWorkflow #ModelEvaluation #GenerativeAI #AWS_Partners
1
2
389
7/ If you care about performance, FastSet isn’t optional—it’s essential. Built by @pisquared. Used by people who want results. #FastSet #MLworkflow #AItools #FeatureEngineerin
1
18
Export the winner Deploy like a boss No manual tweaking. No wasted cycles. Just clean, optimized features—ready to roll. Props to @pisquared for building a beast. 🧠💥 #FastSet #MLworkflow #AItools
1
7
I rely on Perplexity for deep research and Comet for managing my ML projects. Both save time and keep my workflow organized. Highly recommended! #AIDaily #MLWorkflow
2
48
ML engineers today are drowning in tools, scripts, and scattered workflows. Every model takes weeks. Sometimes months. And still  it breaks in production. That changes now. @withneo is here. The first Agentic ML Engineer built with 11 specialized agents that don’t just assist... They reason, plan, code, and execute entire ML pipelines. From data prep to deployment no handoffs, no tool stitching. Just outcomes. ⏱ Builds in hours, not months 🧠 Learns your workflows 🎯 Reduces grunt work by 90% 📊 Leading benchmark scores (34% vs 22% vs 16.9%) ⚙️ Natively supports Snowflake, Databricks, BigQuery & more Drop in your docs. Define your goals. @withneo adapts and engineers like a full-stack ML team on demand. Superintelligence isn’t coming. It just launched. 🔗 Join the waitlist → heyneo.so/waitlist 🐦 Follow @withneo #ML #AI #AGI #MachineLearning #MLworkflow #Neo #FutureOfWork #AIengineer
3
3
5
3,701
25 Jul 2025
6/ If you’re stepping into MLOps, DVC is a great starting point. Would love to hear what tools you’re using for pipelines, versioning, and experiment tracking 👇 #MLOps #DVC #dvclive #MachineLearning #ExperimentTracking #OpenSource #MLworkflow #AI
2
15
24 Jul 2025
Most ML teams nail version control early on. But when deployment time arrives, they hit questions like: ❓ “How do we guarantee the same environment in staging?” ❓“Can this model be deployed as-is via CI?” ❓“What’s the fastest way to hand this off to infra?” That’s the packaging gap. DVC helps you version. @Kit_Ops helps you package and distribute with production-ready containers. Here's your migration guide when you're ready 👇 #mlops #machinelearning #mlworkflow
1
1
4
3,572
Manual KFold StratifiedKFold on Iris & Digits Generalization power = Cross-Validation > Train-Test Used cross_val_score for clean validation Generalization power = Cross-Validation > Train-Test #MachineLearning #MLWorkflow #BiasVariance #CrossValidation
1
1
33
18 Jul 2025
Data scientists, unlock true agility with @FractionAI_xyz. This platform simplifies complex feature engineering and model training workflows, empowering faster experimentation and superior results. #DataScience #MLWorkflow
1
1
3
105
18 Jul 2025
Data scientists, unlock true agility with @FractionAI_xyz. This platform simplifies complex feature engineering and model training workflows, empowering faster experimentation and superior results. #DataScience #MLWorkflow
76
18
82
815
"GPU shouldn’t feel like a luxury. Hyperbolic gets it." #Hyperbolic #AIForEveryone #GPUAccess #MLworkflow #KAITO @hyperbolic_labs @KaitoAI
5
17
20 May 2025
Did you know that ClearML has three layers? Our platform is comprised of an infrastructure control plane, a #genai app engine, and an #ai development center. Here's how @WSC_Sports uses ClearML's AI Development Center to: -- Track every aspect of experiments, including code, configurations, and results -- Compare different runs and identify the best-performing models -- Reproduce experiments with ease -- Manage datasets and artifacts Read more here 👉 clear.ml/blog/case-study/sca… #ai #machinelearning #mlops #mlworkflow #mlexperiments #clearml #wscsports
1
3
80
10 May 2024
"define a GraphState that encapsulates the entire state of the application" Why re-invent orchestration and not reuse (say) @Camunda ? It allows complex workflow patterns as well as combination of automated and human agents x.com/Camunda/status/1745092… #MLworkflow

10 Jan 2024
Replying to @Camunda
Improved form deployment and linking in Modeler make it easier to navigate between forms and process diagrams, while new Forms updates include a Table Component, Dynamic List Component, and an iFrame Component. Get started with Camunda today: bit.ly/3NX8x5Q
2
4
2,425
16 Nov 2023
The design decision point being : orchestration ("pipelines") should not be ML framework specific but work heterogenously in frameworks and data senses. Can the example combine structured data as well as text? Ideally with error handling... #MLWorkflow >> "data pipelines"
1
44
14 Apr 2022
Powering the Next Wave of Intelligent #IoT Devices with #MachineLearning, Part 1 blog.bigml.com/2019/01/25/po… Easily integrate the #BigML platform into @NodeRED & make your #IoT devices learn from their environment. #MLplatform #InternetofThings #Bindings #MLworkflow #MLapplication
2
4
20 Jan 2022
Powering the Next Wave of Intelligent #IoT Devices with #MachineLearning, Part 1 blog.bigml.com/2019/01/25/po… Easily integrate the #BigML platform into @NodeRED & make your #IoT devices learn from their environment. #MLplatform #InternetofThings #Bindings #MLworkflow #MLapplication
1
5