@Matchable_io

Outsourcing Live Operations and bringing new life into old games with #IA

 France
matchable.io
Joined October 2016
  • Tweets360
  • Following183
  • Followers45
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matchable.io retweeted
Gulrez Khan@DataVizzdom24 Aug 2020
Time spent in a life of a #DataScientist #DataScience #datasketch #ArtificialIntelligence #DataVisualization
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ML researchers work with fixed benchmark datasets, and spend all of their time searching over the knobs they do control: architecture & optimization. In applied ML, you're likely to spend most of your time on data collection and annotation -- where your investment will pay off.
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Best of 2019: How GoldenEye 007 set a new standard for video game AI ubm.io/2xPPOkR
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matchable.io retweeted
Thomasbcn@Thomasbcn4 Dec 2019
Mobile games generating more than $5m yearly store revenue: 2016: 1200 2018: 1900 2019: 2200 Data @appannie
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Politicians have blamed violence on video games for decades. Said one expert: “The data on bananas causing suicide is about as conclusive.” nyti.ms/2KzK0lQ

Video Games Aren’t Why Shootings Happen. Politicians Still Blame Them. (Published 2019)

Said one expert: “The data on bananas causing suicide is about as conclusive.”

nytimes.com
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26 years ago… 👀
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matchable.io retweeted
Kirk Borne
@KirkDBorne3 Jul 2019
Using #AI to Make Knowledge Workers More Effective: dy.si/9KGYo => The Real Power of AI = Accelerated Intelligence Amplified... Assisted... Augmented... ———— #FutureOfWork #Automation #Analytics #DataScience #MachineLearning #DigitalTransformation
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Most companies using data
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matchable.io retweeted
Aaron Levie
@levie4 Jun 2019
Apple has cemented a turning point for the future of the web. In building products, the question is moving from “how much data can we gather” to “how little data can we gather” to deliver the same value proposition.
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matchable.io retweeted
KDnuggets
@kdnuggets26 May 2019
How to Deploy Machine Learning Models: The Ultimate Guide buff.ly/2wh5bSP
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matchable.io retweeted
Kirk Borne
@KirkDBorne26 Apr 2019
10-page (PDF) #DataScience Cheat Sheet covers basic concepts in probability, #statistics, statistical learning, #MachineLearning, #DeepLearning, #BigData frameworks, and SQL: dy.si/GXLH2 ———— #abdsc #AI #DataScientists #DataLiteracy #BeDataBrilliant
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Where's Ouya?
Ibuprogames@Ibuprogames10 Apr 2019
40 years of console wars #gamedev
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matchable.io retweeted
Kirk Borne
@KirkDBorne19 Mar 2019
Cartoon: #AI and #MarchMadness buff.ly/2Fb4MXc via @kdnuggets #ArtificialIntelligence #MachineLearning #DeepLearning #Robotics #bots HT @SpirosMargaris
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A couple days ago another team asked me to speak about Bayesian data analysis. I decided that instead of doing a nuts/bolts of how to fit/use Bayesian models, I would describe "Bayesian analysis: The Good Parts". <potentially controversial thread>
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matchable.io retweeted
PyData
@PyData26 Nov 2018
Python or R? Trick question: Both! Check out our PyData video playlist of R talks, including: "A Beginner's Guide to Random Forests - R vs Python" by Linda Uruchurtu: youtube.com/watch?v=fFPsjpP5… #rstats #scikitlearn #sklearn Don't forget to subscribe for updates!
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matchable.io retweeted
Clement Farabet
@clmt21 Oct 2018
Would argue that collecting the right data is the single most important aspect of building ML based products.
Reza Zadeh
@Reza_Zadeh20 Oct 2018
A stark contrast between Machine Learning vs other forms of mathematical modeling is that ML models often don't model extreme corner cases very well, because data in those areas is rare. Gathering data in important areas is as important a skill as building fancy neural networks.
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When the client says "We don't need research, we know our users. 🧐" #UXProblems #UX #Research #Design #productdesign #designthinking 🤓 @FabienSerny @benjaminloembet @GregoirePoulain
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matchable.io retweeted
Kirk Borne
@KirkDBorne18 Oct 2018
An A.I. Glossary: nytimes.com/2018/10/18/busin… by @jackiesnow @nytimes #BigData #DataScience #AI #xAI #MachineLearning #DeepLearning #NeuralNetworks #ComputerVision #NLProc #ReinforcementLearning #TransferLearning Cartoon by @Dilbert_Daily
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Amazon built an AI to rate job applications. It analyzed 10 years of (male dominated) hires. Then it started penalizing resumes that included the word “women’s,” downgrading graduates from all women's colleges, and highly rating aggressive language. reuters.com/article/us-amazo…

Insight - Amazon scraps secret AI recruiting tool that showed bias against women

Amazon.com Inc's machine-learning specialists uncovered a big problem: their new recruiting engine did not like women.

reuters.com
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Every so often I read a tweet about F2P that makes me sad for the developer sharing it. So I'm going to hit every common misconception I've seen in a single thread, and hope it helps somebody someday. Buckle up!
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