Top Tweets for #MobileMachineLearning
We put together our very own "Awesome" list on #GitHub. A frequently-updated repo with tutorials, frameworks, ebooks, and all kinds of content to help you on your #MobileMachineLearning journey. https://t.co/0Vi2jajmA9

We put together our very own "Awesome" list on #GitHub. A frequently-updated repo with tutorials, frameworks, ebooks, and all kinds of content to help you on your #MobileMachineLearning journey. https://t.co/0Vi2jajmA9

We put together our very own "Awesome" list on #GitHub. A frequently-updated repo with tutorials, frameworks, ebooks, and all kinds of content to help you on your #MobileMachineLearning journey. https://t.co/rAGCJSiOT2

Contributor @_mwitiderrick continues his exploration of #MobileMachineLearning with a look at on-device entity extraction using Google's ML Kit. https://t.co/PfGv1ZcSGI
The #MobileMachineLearning world moves a mile a minute. But there remain some fundamental concepts that are essential to understand when considering a mobile ML project. Check out our new glossary of key terms and concepts you'll need to grapple with. https://t.co/g1bdVHrlHg

We put together our very own "Awesome" list on #GitHub. A frequently-updated repo with tutorials, frameworks, ebooks, and all kinds of content to help you on your #MobileMachineLearning journey. https://t.co/sX6i6B1SfB

We’ve been exploring what it takes to turn #MobileMachineLearning projects from ideas into reality, and we want to share our learnings with you.
Subscribe to the Fritz AI Newsletter for expert advice, best practices, and updates on what we're building: https://t.co/HxgWJxMkw2

The #MobileMachineLearning world moves a mile a minute. But there remain some fundamental concepts that are essential to understand when considering a mobile ML project. Check out our new glossary of key terms and concepts you'll need to learn. https://t.co/g1bdVHrlHg

Fritz AI Studio is the end-to-end #MobileMachineLearning platform:
Build a dataset ✅
Train a model ✅
Deploy cross-platform ✅
Manage & monitor ✅
Protect model IP ✅
Collect ground-truth data ✅
Retrain to improve performance ✅
Learn more: https://t.co/lBfU4rvUSe

For #MobileMachineLearning, the road from idea to app-in-production is long & winding. Our ebook joins you on your journey:
🔁Full lifecycle coverage, from building datasets to retraining models
👨🔬Best practices, curated by our experts
Download now: https://t.co/8YnJsoqVo7

Also dove into the core trends and news items that shaped the #MobileMachineLearning world in 2020, and ended up writing about the five areas where the tech pushed forward throughout the year. Hope you enjoy these! Wishing you all a healthy & happy 2020.
https://t.co/BaQe1JQMNx
We built Fritz AI Studio so that even those without ML expertise can build #MobileMachineLearning models from the ground up. Follow along as our own @austin_kodra (who's never coded in his life) builds, tests, and improves a cat detector on iOS. https://t.co/ZWomrS6ccX
Holy hell, I'm so unreasonably proud of myself.
🎨 Artistic style transfer + background replacement (segmentation) Snapchat Lens, built with @fritzlabs and @SnapLensStudio.
#SnapML #MobileMachineLearning
For #MobileMachineLearning projects, there remain significant skills and knowledge gaps that need to be bridged. Download our free industry report co-authored by @spell_ml to learn much more about the challenges (and opportunities) of ML on mobile. https://t.co/pggvAARy1R

We spend a lot time talking about the "what" of #MobileMachineLearning. But it's equally important to consider "why". We broke down the major benefits and values of on-device ML for your business. https://t.co/wqeq8Lytgw

ICYMI!
Our new deep dive into all things #MobileMachineLearning is now available and free-to-download. Packed with industry expertise, survey data, and much more.
We've teamed up with @fritzlabs to bring you the State of Mobile Machine Learning in 2020 report, harnessing survey data from 500 technical leaders, across industries. 🤩✨ Download today!
https://t.co/9UdpKpPJmt

We put together our very own "Awesome" list on #GitHub. A frequently-updated repo with tutorials, frameworks, ebooks, and all kinds of content to help you on your #MobileMachineLearning journey. https://t.co/sX6i6B1SfB

We’ve been exploring what it takes to turn #MobileMachineLearning projects from ideas into reality, and we want to share our learnings with you.
Subscribe to the Fritz AI Newsletter for expert advice, best practices, and updates on what we're building: https://t.co/HxgWJxMkw2

58% of technical leaders believe #MobileMachineLearning projects will take more than a year to complete. That’s a lot of work and a lot of product roadmap. Learn about what else it takes to build with mobile ML by downloading our full industry report 👉 👉 https://t.co/rm0KQK4L8n

For #MobileMachineLearning projects, there remain significant skills and knowledge gaps that need to be bridged. Download our full industry report to learn much more about the challenges (and opportunities) of ML on mobile.
Download for free 👉 👉 https://t.co/pggvAARy1R

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