Data Scientist, 🐕🐈🐈, mech keyboards, video games, NBA analytics. Keeping manual transmissions alive ✊🏻
San Francisco, CA
Joined May 2009
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Ben Xiao 蕭宇力 retweeted
I'm going on tour! (!!!!) Please come celebrate the release of Dream 🤗 I'd love to see you:
Ben Xiao 蕭宇力 retweeted
Guide to Sports Analytics (v5)
The latest version of the guide is here and it now totals over 1,000 resources covering R, Python, SQL and more. New accounts to follow, tutorials and blogs along with a new “how to get started” and “articles” tab !! ⬇️
docs.google.com/spreadsheets…
Mirin's Giannis book was one of my favorite basketball reads. Looking forward to another one!
Very excited that @BrazosBookstore has signed books by me available for preorder of my upcoming biography of Hakeem Olajuwon, DREAM: brazosbookstore.com/pre-orde… Please consider pre-ordering, it really helps both booksellers + authors 💜
Ben Xiao 蕭宇力 retweeted
🚨 I’m hiring! 🚨
My team @sportingnews is expanding into new spaces with some exciting partnerships!
Official links to apply coming next week but if you know any freelance writers with experience covering entertainment or esports, hit my DMs!
Likely 15-20 hr/wk roles.
Ben Xiao 蕭宇力 retweeted
Actively recruiting for a college basketball data scientist to join my team at Swish. Ideal candidate has at least a couple years of experience working with high level data science pipelines and a portfolio of analysis of college sports. LMK if that's you! DMs open 🦖
Ben Xiao 蕭宇力 retweeted
My stream of consciousness:
:01 Turn left, look alive
:02 Get JT side profile or you’ll lose it
:07 Back pedal, keep sight of Bron
:08/:11 Zoom on cues
:13 Okay Steph turned, turn cam next (head swiveled at :12)
:15 Hug Bron’s right side (he pivots left)
Ben Xiao 蕭宇力 retweeted
My book Interpretable Machine Learning has been career-defining.
Even though the book is available on the web for free, many have supported me by buying the ebook or paperback, which ultimately helped me become a full-time writer.
I'm grateful for all your support 🙏
I have instantly freed up 3 hours of my week
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Ben Xiao 蕭宇力 retweeted
The last 12 NBA head coaches with no prior experience were very hit or miss
✍️: wp.me/pc2RuA-1lz20x
How do you think JJ Redick will do with the @Lakers?
Ben Xiao 蕭宇力 retweeted
Andrews admits, "I feel so much pressure as a woman in a male-dominated industry to show up as my most perfect self."
people.com/espn-malika-andre…
Ben Xiao 蕭宇力 retweeted
Fun fact: Minnesota is beating Dallas in Rudy Gobert's minutes!
Everyone loves to hate and blame Rudy, but I wrote a defense of his consistent impact on the scoreboard.
theringer.com/nba/2024/5/30/…
Ben Xiao 蕭宇力 retweeted
In this project with the folks at @weaviate_io, we put together a weird and wacky search engine for Wikipedia -- an analogy machine!
It's King - Man + Woman = Queen, but for ~50M snippets from Wikipedia.
What is the sushi of Texas? Who is the Albert Einstein of synchronized swimming? What is to startups as gasoline is to engines?
Discover these connections, and more, with analogy-based Wikipedia search -- powered by @weaviate_io and Modal!
Try it here: vector-analogies-wikipedia.v…
Ben Xiao 蕭宇力 retweeted
Hoop Atlas Is Out Today!
One of my favorite chapters is about Stephen Curry, and how he blended innovative workouts and technology to build the best jump-shooting arsenal in NBA history - and changed the game forever.
amazon.com/Hoop-Atlas-Mappin…
A data gold mine!
that time of the year again…
I’ve updated the shots dataset with the 2023/24 season, so it now contains 4.3+ million shots from the last 21 NBA regular seasons. Each shot contains player IDs, x and y locations, position labels and descriptions!
github.com/DomSamangy/NBA_Sh…
Ben Xiao 蕭宇力 retweeted
I lied.
I said I was giving away a NVIDIA 4080Super GPU.....
It turns out I'm giving away TWO GPUS!
One winner has been chosen. The second GPU is going out to the first person to solve the "brig1" LLM Hacking challenge on crucible!
Try it out -> crucible.dreadnode.io/
Ben Xiao 蕭宇力 retweeted
Hey #dataviz folks - what library can draw pie (donut, actually) charts where multiple, separated segments can belong to the same category?
I gave it a go with plotly but I think it's nontrivially difficult. 🤔
(Background: looking to demonstrate consistent hashing.)
