Grateful to share about data science, machine learning in production️, and career. Give feedback 🎁[ datascience machinelearning learning career python productivity production omscs engineering lazada writing til misc business survey leadership deeplearning recsys agile spark nlp informalmentors ]
What's an average day like? What's great about the role? How's working in Amazon?
My chat with James Le about my experience, leadership, agile, ML in production, writing, and more.
Comparing baselines (matrix factorization) against novel approaches using graphs & NLP.
In-depth sharing on how to put machine learning systems into production.
Keynote on how Asia's tech giants scale and their SuperApp strategy.
How we built an ML system to predict hospitalization costs at admission; sharing at DATAx Conference.
What's the difference between a data scientist, data engineer, and ML engineer? A panel at Google.
Yes, Agile can be adopted by data science teams. Moderating a panel at GovTech STACK.
Technical challenges easy compared to business and people issues. Sharing at the BDA Summit.
And my idiosyncratic journey to VP of Data Science at Lazada (Alibaba). A Lunchtime chat at INSEAD.
What is data science, how to pick it up, and how to enter the field? A discussion with SMU undergrads.
Sharing about why data science, data science myths, a typical day, and more with TIA.
Tools and skills to pick up and how to practice them. An Invited Talk with Masters in IT candidates.
How Lazada ranks products to improve customer experience and conversion at Strata 2016.
20 Jun 2015  ·  1 min  ·  [ machinelearning ]
Sharing about my first data science competition at DataScience SG.
I write about how to be effective in data science, learning, and career. Get weekly updates.
Welcome gift: 5-day email course on How to be an Effective Data Scientist 🚀