Learn JavaScript Machine Learning with These 5 Libraries

Frontend and web developers don't need Python to work with machine learning. Here are five open source JavaScript libraries to use instead. By Loraine Lawson

Frontend and web developers don't need Python to work with machine learning. Here are five open source JavaScript libraries to use instead. By Loraine Lawson

Ditch Python: 5 JavaScript Libraries for Machine Learning Frontend and web developers don't need Python to work with machine learning. Here are five open source JavaScript libraries to use instead. Python has long been the dominant language for training and using machine learning models, but that’s changing. “We’re bringing machine learning tools into the JavaScript ecosystem,” Laurie Lay, a senior software engineer with Ippon Technologies, said. “By doing that, we are making this technology accessible to the largest and most active developer community in the world, which is the JavaScript community.” At this year’s devmio International JavaScript Conference, Lay demoed five open source JavaScript libraries available now for frontend and web developers who want to dive into machine learning. Lay specializes in full-stack development and is a part of Ippon Technology’s AI Center of Excellence. These five libraries give JavaScript developers a way to start using machine learning and working with models in JavaScript, she said. https://lnkd.in/eASM3bNF Please follow Divye Dwivedi for such content.  #DevSecOps, #SecureDevOps, #CyberSecurity, #SecurityAutomation, #CloudSecurity, #InfrastructureSecurity, #DevOpsSecurity, #ContinuousSecurity, #SecurityByDesign, #SecurityAsCode, #ApplicationSecurity, #ComplianceAutomation, #CloudSecurityPosture, #SecuringTheCloud, #AI4Security #DevOpsSecurity #IntelligentSecurity #AppSecurityTesting #CloudSecuritySolutions #ResilientAI #AdaptiveSecurity #SecurityFirst #AIDrivenSecurity #FullStackSecurity #ModernAppSecurity #SecurityInTheCloud #EmbeddedSecurity #SmartCyberDefense #ProactiveSecurity

Ditch Python: 5 JavaScript Libraries for Machine Learning Python has long been the dominant language for training and using machine learning models, but that’s changing. “We’re bringing machine learning tools into the JavaScript ecosystem,” Laurie Lay, a senior software engineer with Ippon Technologies, said. “By doing that, we are making this technology accessible to the largest and most active developer community in the world, which is the JavaScript community.” At this year’s devmio International JavaScript Conference, Lay demoed five open source JavaScript libraries available now for frontend and web developers who want to dive into machine learning. Lay specializes in full-stack development and is a part of Ippon Technology’s AI Center of Excellence. Stay connected for industry’s latest content – Follow Deepthi Talasila #DevSecOps #ApplicationSecurity #AgenticAI #CloudSecurity #CyberSecurity #AIinSecurity #SecureDevOps #AppSec #AIandSecurity #CloudComputing #SecurityEngineering #ZeroTrust #MLSecurity #AICompliance #SecurityAutomation #SecureCoding #linkedin #InfoSec #SecurityByDesign #AIThreatDetection #CloudNativeSecurity #ShiftLeftSecurity #SecureAI #AIinDevSecOps #SecurityOps #CyberResilience #DataSecurity #SecurityInnovation #SecurityArchitecture #TrustworthyAI #AIinCloudSecurity #NextGenSecurity https://lnkd.in/geYDn7di

There's nothing inherently powerful about #Python for machine learning. It's great glue. It's the combination of Python and C that makes it beneficial. Plus, Python has deep pockets supporting it. There's Google and there's Meta, behind PyTorch. But the landscape is changing and #JavaScript is becoming a practical reality "because it’s driven by a number of technological advancements," says Laurie Lay in an informative post by Loraine Lawson in The New Stack. https://lnkd.in/gmbqndeA

It's not all about Python for machine learning -- JavaScript is coming along and there's the npm ecosystem, too.

New Post: How Laravel and Python Backends Can Power Agentic AI Pipelines - https://lnkd.in/espF_cda by Ralph Laravel and Python form a powerful backend duo for agentic AI — combining orchestration, API control, and scalable task execution in production workflows.