AnDevCon IV - Android Bootcamp

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The new versions of Android and iOS are going to support system-wide Dark Mode. Users will demand to support this mode, and apps that don't support it will quickly look "out of style". This presentation will highlight some important aspects of implementing this in your own UI. Supporting dark mode is not as simple as just switching white to black. There are many important details to implement, to ensure your app is accessible and useable. Mike will discuss details pertaining to how he converted his Android App to support Dark Mode, and highlight lessons he learnt during the process.

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As we use Machine Learning in our software - we need to understand the impact on what we build. The Design team at Google has created a framework named Human-Centered Machine Learning (HCML) to help us focus and guide that understanding. I will introduce this concept and show how you can use it in your development process. I will show how HCML can be used to answer important questions like: Is ML right for this problem? What unique solution does ML provide? Are we using the right information to train our system? What is the impact of wrong results? Just like with the web and mobile revolutions, ML will force us to consider new possibilities for every experience we build. We must stay grounded in human needs while solving them in unique ways. HCML provides techniques to help us accomplish this.

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This is a presentation with information about getting started developing Android Applications. It includes history about the platform, important definitions, and details about tools and techniques to help people get started developing mobile apps targeting Android. This was for an all day presentation - and is OLD! Some of the information (especially any reference to the tools, including Eclipse) is wrong, and deprecated.

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Handling Dark Mode on Android and iOS

Human + Machine Learning

Effective Remote Teamwork DevFest Minnesota 2018

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