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Shhhh! We have a secret! Join us for Privacy and Security week on #11WeeksOfAndroid to find out what’s in store! Get started ↓pic.twitter.com/YjxygYXnY3

What does "Kotlin-first" really mean? Many developers already enjoy @Kotlin and want our continued support. We’ll design new Android development tools with Kotlin users in mind while providing assistance for using our Java APIs. More info → https://goo.gle/2ZcmNNM pic.twitter.com/kUB4BCJeW5

Hats off to Eskke, an #AndroidDevChallenge winner The app streamlines the mobile money experience for users in the Congo. It used #MLKit to remove 5 steps to simplify the money withdrawal process. Details→ http://goo.gle/helpful-innovation … Download Eskke→ https://goo.gle/3g040Mn pic.twitter.com/hmhEiWjgJY

Let’s wrap it up! In week 2 of #11WeeksOfAndroid, we saw how #ML is a differentiator in design, @TensorFlow Lite, #TFHub, and #MLKit. We also learned how Android tools can be used to customize models and so much more! Dive in → https://goo.gle/MLWrap pic.twitter.com/ho4w5ugjv9

Start your morning (or end your day!) with a splash of #NowInAndroid This week, @chethaase covers #Android11 Beta launch, AndroidX releases, samples, articles, videos, and more! → https://goo.gle/2Bb8TU6  → https://goo.gle/3fX6Qlh  → https://goo.gle/2BEQO0l pic.twitter.com/LRLehkrE7t

There’s still time to request your collector’s #AndroidDevChallenge magazine, highlighting the 10 winning apps and the on-device machine learning technologies they used. Request one of the limited copies, sent directly to you → https://goo.gle/dev-magazine-form …pic.twitter.com/uc1I1nLZhT

‍ Stroll down the ML pathway This week’s pathway introduces you to the wide variety of machine learning tools and methods for #Android developers. Watch videos and complete codelabs to earn your badge. Unlock your achievement → https://goo.gle/MLPath  #11WeeksOfAndroidpic.twitter.com/xl7yV2HXD5

Design your ML-based apps so that users feel in control! In this post by @dqpdang, you'll learn how to find the intersection of ML strengths and user needs, and how defining your reward function can impact UX. #11WeeksOfAndroid #PAIRGuidebook Try it → https://goo.gle/ODMLDesign pic.twitter.com/XAQ3DgRhWB

Build an image classifier app! Train a TensorFlow Lite model that can recognize custom images using your own dataset. Then, integrate the model into an Android app! Watch @khanhlvg and @hoitab run through this codelab → https://goo.gle/2Z59Bu6  #11WeeksOfAndroidpic.twitter.com/TWyEgEspZT

It’s a bird. It’s a plane. Nope, it’s definitely a bird. Sometimes the default model in ML Kit may not exactly fit your needs. @hoitab is here to discuss how #TFHub and #MLKit object detection & tracking can help! #11WeeksOfAndroid See how → https://goo.gle/2Yt9hWW pic.twitter.com/YJgA5sBTB2

Stop and scan the flowers Build an image classifier with @TensorFlow Model Maker and use the new Android Studio ML binding to identify flowers. And yes, it uses @Kotlin and CameraX! Take this codelab of the day → https://goo.gle/37TN9Ii  #11WeeksofAndroidpic.twitter.com/jNo27aOeyS

Alternative models are key Use the most exciting models from @TensorFlow Hub, or train your own with Model Maker and integrate them with new tools like Android Studio ML Model binding / #MLKit. #11WeeksOfAndroid See how it all fits together → https://goo.gle/2CujedX pic.twitter.com/o3JjnK06KB

See all that’s new in #Android11 Tune in to this collection of videos that touches on everything Android, from Kotlin to Android Studio to Jetpack, and more. Watch here → https://goo.gle/android11-talks pic.twitter.com/wbNZ2vQ6h0

Learning machine learning In episode 142 of Android Developers Backstage, @chethaase and @tornorbye chat with @hoitab and Matej Pfajfar about ML Kit, TF Lite, transfer learning, federated learning, and more! Tune-in → https://goo.gle/3fQL7LF  #11WeeksOfAndroidpic.twitter.com/OaEtvoj0XJ

Codelab of the day: Recognize, identify, and translate with ML Kit x CameraX We'll walk you through #MLKit’s text recognition, language identification, and translation APIs with #CameraX to build an Android app. Start learning → https://goo.gle/2V8l8Y6  #11WeeksOfAndroidpic.twitter.com/BhxklFYQQS