Web x Arduino 智能監控潮潮 Der 是一系列新的課程,北中南也都各開過一場,透過各種有趣的傳感器,就可以做出許多網頁的應用,希望手邊有 Webduino 的朋友,可以透過簡報,玩轉出更多好玩的創意。
Webduino 團隊目前正準備推出嶄新的課程,也請大家繼續給予我們支持和鼓勵!
更多資訊請參考官方網站:https://webduino.io
加入我們的粉絲團:https://www.facebook.com/webduino
Web x Arduino 智能監控潮潮 Der 是一系列新的課程,北中南也都各開過一場,透過各種有趣的傳感器,就可以做出許多網頁的應用,希望手邊有 Webduino 的朋友,可以透過簡報,玩轉出更多好玩的創意。
Webduino 團隊目前正準備推出嶄新的課程,也請大家繼續給予我們支持和鼓勵!
更多資訊請參考官方網站:https://webduino.io
加入我們的粉絲團:https://www.facebook.com/webduino
A recommendation engine for your php applicationMichele Orselli
Nowadays a lot of websites try to guess what we might like: ”Recommendation for you in books”
”People you may like”
Sounds familiar, isn’t it? Wouldn’t be cool if you could do the same in your application? Well, this session is for you! In the first part of this talk recommendation systems will be introduced, focusing on collaborative filtering algorithms (CR). After that we’ll dive in Prediction.io, an open source machine learning server for software developers to create predictive features, such as personalization, recommendation and content discovery. In the last part we’ll cover the integration details with a PHP application
Software bugs are inevitable; some are especially difficult to track down, causing you to waste countless hours before throwing your hands up in defeat. It doesn't have to be this way! The mental fatigue and wasted time can be avoided by using strategies like identifying the most-appropriate tool, taking a logical & objective approach, challenging assumptions, listening to variables, isolating the code path, and reinforcing code with automated tests. Attendees will learn how to combine these techniques with the right mindset and attitude in order to debug their code quickly and effectively.
A recommendation engine for your php applicationMichele Orselli
Nowadays a lot of websites try to guess what we might like: ”Recommendation for you in books”
”People you may like”
Sounds familiar, isn’t it? Wouldn’t be cool if you could do the same in your application? Well, this session is for you! In the first part of this talk recommendation systems will be introduced, focusing on collaborative filtering algorithms (CR). After that we’ll dive in Prediction.io, an open source machine learning server for software developers to create predictive features, such as personalization, recommendation and content discovery. In the last part we’ll cover the integration details with a PHP application
Software bugs are inevitable; some are especially difficult to track down, causing you to waste countless hours before throwing your hands up in defeat. It doesn't have to be this way! The mental fatigue and wasted time can be avoided by using strategies like identifying the most-appropriate tool, taking a logical & objective approach, challenging assumptions, listening to variables, isolating the code path, and reinforcing code with automated tests. Attendees will learn how to combine these techniques with the right mindset and attitude in order to debug their code quickly and effectively.