DevFest On demand
Watch videos of sessions from DevFests around the world, anytime. Topics including Cloud, Web, Machine Learning, Mobile and more!
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5 years ago
Apache Pulsar is a Cloud-native next-generation messaging system and real-time processing platform. As a computing component of Pulsar, Pulsar Functions is a fusion and innovation of the messaging and computing platform in the serverless direction. This time I will share with you how to build a Go function based on the Go language.
Ran Xiaolong
Apache Pulsar Commiter
StreamNative Go 研发工程师
5 years ago
I'm software engineer and community organizer (GDG Tokyo & Women Techmakers Tokyo) in Japan. I want to share Japanese culture and situation. If you have some worry, perhaps it already resolve it in Japan.
Shoko Okochi
Community Organizer
GDG Tokyo- Women Techmakers Tokyo
5 years ago
第一次接觸BigQuery就讚嘆天下竟然有這麼神奇好用的東西。
本演講難度入門，適合沒有經驗，會寫一些 SQL 語法，想要試試機器學習模型的人，又或者是，對於資料科學家來說，BigQuery佐Cloud Dataprep佐Data Studio簡直是找到知音！演講內容包含如下：
1. 建立資料集，使用 Cloud Dataprep UI 做資料準備、清理
2. 使用 Data Studio 視覺化建立 dashboard
3. 引入 ML 到 BigQuery
The first time I came into contact with BigQuery, I was amazed that there was such a magical thing in the world.
This lecture is difficult to get started. It is suitable for people who have no experience, will write some SQL syntax, want to try a machine learning model, or, for data scientists, BigQuery, Cloud Dataprep, and Data Studio simply finds conscience! The speech included the following:
1. Create a data set, use Cloud Dataprep UI to prepare and clean up the data
2. Use Data Studio to visualize the dashboard
3. Introducing ML to BigQuery
本演講難度入門，適合沒有經驗，會寫一些 SQL 語法，想要試試機器學習模型的人，又或者是，對於資料科學家來說，BigQuery佐Cloud Dataprep佐Data Studio簡直是找到知音！演講內容包含如下：
1. 建立資料集，使用 Cloud Dataprep UI 做資料準備、清理
2. 使用 Data Studio 視覺化建立 dashboard
3. 引入 ML 到 BigQuery
The first time I came into contact with BigQuery, I was amazed that there was such a magical thing in the world.
This lecture is difficult to get started. It is suitable for people who have no experience, will write some SQL syntax, want to try a machine learning model, or, for data scientists, BigQuery, Cloud Dataprep, and Data Studio simply finds conscience! The speech included the following:
1. Create a data set, use Cloud Dataprep UI to prepare and clean up the data
2. Use Data Studio to visualize the dashboard
3. Introducing ML to BigQuery
Rowan Tseng
Software engineer
QNAP Systems, Inc.
5 years ago
I started my career in corporate, co-founded a company, moved to freelancing and now work in a startup, whilst running an NPO. As my journey continued, I began to realize that the success of the products that I worked on, as well as my professional fulfillment were influenced by the dynamics of the teams I work with. There are many factors that help teams to be effective, and are conducive to growth and performing better overall. During this talk I’d like to explore some of these elements.
Ridhwana Khan
Senior Software Engineer
Smile Identity
5 years ago
According to the World Health Organisation, over a billion people, or 15% of the world's population, have some form of disability. Sadly, there are many misconceptions around accessibility, and accessibility is often an afterthought when designing and coding apps. This talk aims to inform the audience about the various types of disabilities, followed by a discussion on the many tools the Android platform provides for those affected by disabilities. After laying the foundation, I shift gears, giving best practices to design and develop Android apps with accessibility in mind. Rounding off the talk, I demonstrate how to test for accessibility using some cool Google tools. By the end of the talk, the audience will be empowered to become real accessibility allies!
Pamela Hill
Android Engineer and Tech Lead
Luno
5 years ago
From the day that it's announced, Flutter is attracting so many developers from different backgrounds. It gives the developers a chance to develop an app from a single codebase and deploy it for Android, iOS, Desktop, and Web. But not everyone is in the position to abandon an existing codebase and start from scratch - luckily Flutter got you covered even if you just want to extend your existing application with cool Flutter features. In this talk, we will have a look at how you can add Flutter to your ongoing iOS and Android applications by showing a real-life example app with millions of users and, we will talk about how you can rewrite your existing applications step by step with Flutter.
Muhammed Salih Güler
Google Developer Expert
5 years ago
Thanks to machine learning and AI, applications are now being created that can see, hear, and understand the world around them. This talk will demonstrate how Google Cloud AutoML enables developers with limited machine learning expertise to build and deploy customized, high quality, tabular data, vision, translation, and natural language models by leveraging Google’s state of the art transfer learning, and Neural Architecture Search technology.
Kevin Nelson
Architect Advocate
Google
5 years ago
Go celebrates it's 10 year anniversary since it became open sourced. We reflect on the last 10 years with a programming language historian and archeologists lense. Come dissect a Go program to see the past, present, and future. Learn how modern programming languages shaped the decade and what is in store for developers for the next 10 years.
Van Riper
Go Community Advocate
Carmen Andoh
Open Source Strategy Lead
5 years ago
New UI features are the most visible changes for your app users. As the OS and the other apps move forward, your app can easily be left out due to a broken experience. In this talk, learn more about new UI features that can make your application stand out. Learn how to implement the new Android Q UI features that will bring your app’s User Experience to a new level: - Foldables - Gestural Navigation and Edge to Edge display - Direct Share improvements - Bubbles - Settings Panels and more!
Murat Yener
Developer Advocate
Google
5 years ago
This talk is dedicated to building seq2seq models for multivariate time series with Tensorflow. We are going to discuss: - Pros and cons of traditional approaches and why they fail in more complex scenarios. - Preprocessing and transformation routines for mixed input/output data (scaling, de-trending difficulties, etc.) - Framing of a multi-step sales forecasting problem given multi-input tabular data over multiple SKUs as well as different approaches to target forecasting. - Architecture overview: from Dense single-output over RNN single-output to the generalized seq2seq models. - What dimensions can be additionally captured with above-mentioned setup. Implementation hints for Tensorflow 1.x.
Fedor Navruzov
Senior Data Scientist
Competera
Vladyslav Halytskyi
ML Engineer
Competera
