#PyConHK next week! Join my session if you have always wondered about the question of “What if…Python + Azure?”. I’ll be there in-person to help you answer that question with different use-case scenarios in cross-verticals and domains. We will have a Microsoft booth there, so be sure to pop by to say hello! Looking forward to meeting the Python community f2f!
If you need a free ticket, leave a comment below.
Register now:
https://lnkd.in/g_4AmA7F
I am thrilled to invite you to Microsoft Envision 2022 (Hong Kong) on 6 October 2022 at JW Marriott Hotel Hong Kong (https://lnkd.in/gK6ej739), where I will have a fireside chat session with Confluent to talk about Infuse Real-time Customer Experience in Digitalization.
Digital transformation unlocks value, improves customer and employee experience, operational efficiency, and drives business growth. In this fireside chat, you will learn from Microsoft and Confluents’ experts to understand the adoption journey and the visions of building modern digital solution architecture to deliver next-generation digital experiences with applied real-time data.
We successfully conduct our annual Power & Utility Transformation Forum 2022 (20 September) at the Microsoft Melbourne office. It’s a valuable forum to exchange experiences and ideas to transform the Power & Utility industry business digitally together with our customer & strategic partner guest speakers. Glad to have participation from various Power & Utility affiliates of CK Infrastructure in Australia, including SA Power Networks, Australian Gas Infrastructure Group (AGIG), CitiPower and Powercor, EDL, and Wellington Electricity. We look forward to their successful digital transformation with our cloud technologies and solutions.
Special thanks to our honorable guest speaker from SA Power Networks (Saibeth Walls, Phil Manning, Peter Chapman, Travis Smith, Angus Syme, Mark Tate, Austin Stubbs), EY (Igor Sadimenko, Matt Armitage), and our Industry & Technology experts (Srikant Kadambi, Mauro Relva, Eason Lai, Elizabeth Antoine, Paul Chan, Vivienne Ting, Jason Duong, Daniel Shum, Anthony Kwong, Tracy Chu).
I am thrilled to invite you to apidays Hong Kong – API-First Digital Transformation & Platform Economy, August 24th & 25th, (register here) where I will be speaking about the concept of Data Virtualization, Serving Data as API.
The apidays Hong Kong conference is expecting 1,000+ participants (IT Managers, Architects, CTOs, Senior Developers, PMs and Business Execs) and the speaker lineup is very impressive.
In the past few years, I’ve been glad to have the chance to work closely with awesome data engineers to drive various applied Data & AI projects. Without good data, we cannot make a sophisticated, high-accuracy AI/ML model. We should start to talk about Good Data instead of just how Big of the Data is. I have the latest Chinese article in Singtao that talks about Data Engineering.
Join me at Data Platform Virtual Summit 2022. 150+ Sessions on Microsoft Azure Data, Analytics & Artificial Intelligence.
Learn More: https://bit.ly/dps2022
Pls RT/Share
#dpsTwentyTwo
#AI #datascience #machinelearning #microsoftai #microsoft #azure #cognitiveservices #azuremachinelearning #azuredatalake #artificialintelligence #data #Analytics #AzureData #AzureSQL #SQLServer #PowerBI
Recently, some people asked me interesting questions about whether XGBoost performs better than Logistic Regression for classification problems in machine learning. It is a philosophical question and depends on the situation of data and the scenario to adopt the correct type of algorithm. More or less, it is comparing Apple & Orange. Both of them are fruit, good for health. And obviously, they are completely different types of tastes.
Recently, some people asked me interesting questions about whether Go (aka Golang) is performing faster than Python. It is a philosophical question, and it depends on use case scenarios to use a particular programming language for development. I realized that so many people started to use Go for data engineering to achieve higher performance.
One in a Minion 