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ML Kit

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Beginners Guide To Painless Machine Learning

Building AI-powered apps can be painful. I know. I’ve endured a lot of that pain because the payout of using this technology is often worth the suffering. The juice is worth the squeeze, as they say. Happily, over the past five years, developing with machine learning has gotten much easier thanks to user-friendly tooling. Nowadays I find myself spending very little time building and tuning machine learning models and much more time on traditional app development. In this post, I’ll walk you through some of my favorite, painless Google Cloud AI tools and share my tips for building AI-powered apps fast. Let’s…
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Android Dev Summit 2019 | On-device ML: Tackling Complex Use Cases with ML Kit

Android Dev Summit 2019 | On-device ML: Tackling Complex Use Cases with ML Kit ML Kit makes it easy to integrate ML powered solutions into your apps, either through our turn-key Vision and Natural Language processing APIs or with your own custom TF Lite models. Not only can you easily tackle singular tasks like Text recognition, Face Detection or Language detection, but you can also create more complex user experiences by chaining multiple ML Kit APIs or using these in combination with your own custom models. Presented by: Julie Zhou, Shiyu Hu
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Google I/O 2019 | ML Kit: Machine Learning for Mobile with Firebase

Google I/O 2019 | ML Kit: Machine Learning for Mobile with Firebase ML Kit allows you to harness the power of machine learning in your iOS and Android apps without needing to be an expert in it. Leverage powerful, but simple-to-use on-device and cloud-based APIs for Vision and Natural Language Processing, or train and/or deploy your own models. Understand some big additions to ML Kit and how to use these to enable smarter, richer experiences to your users. Speakers: Christiaan Prins , Ann Zimmer, Sonakshi Watel , Shiyu Hu Session ID: TBE2FD Citi I/O Aster.Cloud DotLAH!
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