Benjamin Wang

Machine learning@Booking, opinions my own

[Benjamin Wang @ddwang2020]

@MerelHazebroeck @electricfelix Tesla self parking has a lot of catching up to do

[Benjamin Wang @ddwang2020]

@pduan I live in Amsterdam with a Tesla, cannot wait to test it out!

[Benjamin Wang @ddwang2020]

@elonmusk can you open up subscription for FSD? I live in Amsterdam, cannot wait to try it out!

[Benjamin Wang @ddwang2020]

@Tesla If I have a dutch license plate, can I activate FSD in other european countries?

[Benjamin Wang @ddwang2020]

@invinc4u @sscdotopen Yes, the GitHub link is in the paper. We also evaluated on one Instacart dataset you guys open sourced a few years back, looking forward to the real test! Let's keep in touch if you have further questions:)

[Benjamin Wang @ddwang2020]

@invinc4u @sscdotopen tagging in case you would like to add something.

[Benjamin Wang @ddwang2020]

@invinc4u @jnvinagre @olivierjeunen By within basket, I assume you mean next item reco is a single session. Whether machine unlearning can be applied efficiently depends the modelling approaches. As in our paper if one formulates within basket reco as NBR w/ a single-item basket as target, then answer is yes.

[Benjamin Wang @ddwang2020]

@AndrewYNg Data quality

[Benjamin Wang @ddwang2020]

@sscdotopen counting how many people get the joke 🤣🤣

[Benjamin Wang @ddwang2020]

@sscdotopen I did some digging, and found one interesting section (15) in the guideline stating "the algorithms recommendation service providers should provide users the capabilities to select, modify or delete user tags/labels"
Source (in Chinese): https://t.co/2db0DiLfYr

[AI for Retail (AIR) Lab @AIforRetail]

Nice! Well done Benjamin! 🎉 @ddwang2020

[Aixin Sun @AixinSG]

There are many models in recommender systems. It is not our interest to propose yet another new model, but to look at how the models are defined/trained/evaluated. We report our understandings in these two "revisit" papers. **Warning**: no formulas, no new models.

[Arun Kumar @TweetAtAKK]

Nice to see industry folks, often from @GoogleAI, dropping me notes of thanks saying my @ucsd_cse grad course on Data Systems for ML was helpful for them. Thank you for the kind act folks! 😊

All lectures/videos/materials are public: https://t.co/SyCjpupPrN I welcome feedback.

[Judea Pearl @yudapearl]

"PhD Position on Causal Inference & Machine Learning"

I was struck by this AD from TU Delft, The Netherlands, for putting CI first and ML second :
https://t.co/kPrtfGoXfW
Evidently, the faculty at TU Delft understand where the future of ML lies. If qualified, I would apply.

[Andrew Ng @AndrewYNg]

Nice writeup by @Analyticsindiam on why I think we should move from model-centric AI development (where the emphasis is on improving models) toward #DataCentricAI (where we systematically improve the data, using MLOps tools). https://t.co/7ClnrLKVGC

[Elon Musk @elonmusk]

Happy New Year of the Ox!