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About Koo Ping Shung

Koo Ping Shung

Koo Ping Shung

Koo is an experienced Data Scientist/Analytics Instructor with an MBA degree & 13+ years of relevant experience. He is a strong and passionate advocate of Data Science & Artificial Intelligence, hoping more people, both business and talents, get on the bandwagon to derive tremendous value from DS/AI. He has vast experience in data management and governance, machine learning/statistical modeling, business intelligence and text analytics. He co-founded DataScience.Sg, an interest group on Data Science in Nov 2013, growing it to more than 5000 members within 36 months and was the former Chairman of Working Committee, Singapore SAS User Group. Mr Koo is also an experienced educator, chief mentor in SAS-IDA Data Scientist Consultant Programme, instructor at NUS SCALE and SMU Academy and Senior Adjunct Faculty at SUSS. He has conducted analytics-related training to numerous professionals, supervised Masters students’ analytics project and was previously and adjunct faculty of SMU. He was also a facilitator for IDA Data Science MOOC Initiative.
AI Innovation

Machine Learning During a Crisis

Given the COVID-19 pandemic, I have more time to share my thoughts these days. So I made a call to my LinkedIn community to find out what they would like me to write on. One interesting topic is “Launching machine learning models in difficult times.” Context In many companies that are mature in data science,

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AI Innovation

Are “complex” ML Models Always Better?

After mentoring data professionals for a few years, I notice that there is always a handful of recent graduates (from universities or boot camps) who are caught by the mental trap of “always go for the most COMPLEX machine learning model!” For instance, some of them would always go for stepwise regression (bi-directional elimination) to

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AI Innovation

Lex Fridman Interview – Pieter Abbeel

For those of you who are in the field of Artificial Intelligence, you would have come across Lex Fridman from MIT. He has a series of videos where he interviews many prominent figures in the field of Artificial Intelligence. These interviews provide many nuggets of information, for instance, research directions, constraints and concerns in the

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AI Innovation

Machines of Loving Grace by John Markoff : Book Review

I came across this book at Kinokuniya and decided to purchase the audio book. What caught my eye and interest was the subtitle “The Quest for Common Ground Between Humans and Robots”. As an economist and a researcher, I am very interested to know more about the future state of the economy and society as

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AI Innovation

Artificial Intelligence: 2020 and Beyond

In the past year, we have seen exciting developments in what Artificial Intelligence has to offer. In 2013, Artificial Intelligence started to dominate simple Atari games. Fast forward six years to today, we see it dominate real-time strategy games like StarCraft. The AlphaStar created by Google’s Deepmind company was able to compete at the professional

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AI Innovation

Quick Win from Data – Visualization

During my work, many have asked the following question, in one form or another. “How can I score quick wins from my existing data?” It is a reasonable question, given that many organizations have spent tons of money on infrastructure and collected much data. My answer is : “Data Visualization.” Many of us, unfortunately, have

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AI Innovation

Data for the People by Andreas Weigend : a Book Review

I was introduced to this book by a close friend of mine who is currently working as a data analyst in a prominent start-up. The audio-book is available at the National Library which you can find here. It is written by Andreas Weigend, former Chief Scientist of Amazon. The book goes into how to make

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AI Innovation

The AI Economy by Roger Bootle : a Book Review

The AI Economy caught my attention when I was browsing for books at Kinokuniya Singapore. I am an economist by training and am always fascinated by the subject, so a book with such a title definitely attracted my attention. The book is written by Roger Bootle, a renowned British economist. It definitely has the prose

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AI Innovation

It is Good to Learn Programming

As an economist by training, I did a lot of mathematics and statistics modules during my university days. I only had a one-module experience in programming and that was with Java, which in my opinion was one of the most difficult languages to pick up (hats off to Java Programmers), especially for someone with limited

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