This is the Way. Market Basket Analysis.

Recently, some people asked me interesting questions about applying the Market Basket Analysis algorithm for product recommendation. First, this question needs to be corrected, as Market Basket Analysis does not equal specific algorithms. Market Basket Analysis (MBA) is a generic term of data analytics that retailers usually use to increase sales performance through a deeper understanding of customer purchasing patterns. It usually involves analyzing the massive amount of purchase history from the customers and turning the data into valuable/actionable insight by Prescriptive and Predictive Analytics.

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Speech at PyCon HK 2022

Love to see so many Python developers from different generations at PyCon HK 2022. I hope you enjoyed my sharing today and gained insight into the endless possibilities of applying Python with Microsoft Azure in various use case scenarios and industries.

Microsoft HK Dev Community @ LinkedIn
https://lnkd.in/gHwS3We6

Hong Kong AI Community @ Discord
https://lnkd.in/gRftFAtd

PyConHK – What if… Python + Azure

#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

Microsoft Envision HK 2022 – Infuse Real-time Customer Experience in Digitalization

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.

Power & Utility Transformation Forum 2022 (20 September)

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 NetworksAustralian Gas Infrastructure Group (AGIG)CitiPower and PowercorEDL, 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 WallsPhil ManningPeter ChapmanTravis SmithAngus SymeMark TateAustin Stubbs), EY (Igor SadimenkoMatt Armitage), and our Industry & Technology experts (Srikant KadambiMauro RelvaEason LaiElizabeth AntoinePaul ChanVivienne TingJason DuongDaniel ShumAnthony KwongTracy Chu).

apidays LIVE Hong Kong 2022

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.

Chinese article in Singtao that talks about Data Engineering

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.

Check it out.

XGBoost or Logistic Regression model for Diabetes Prediction

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.

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