ML and RL for Combinatorial Optimization

Yoshua Bengio, Andrea Lodi, Antoine Prouvost, Machine Learning for Combinatorial Optimization: a Methodological Tour d'Horizon, arXiv:1811.06128v2.

Nina Mazyavkina, Sergey Sviridov, Sergei Ivanov, Evgeny Burnaev, Reinforcement Learning for Combinatorial Optimization: A Survey, arXiv:2003.03600v1.

新創用 ai 找出外觀看不到的標籤，幫電商做到精準「神推薦」

陳君毅，要消費者塞爆購物車！新創用ai找出外觀看不到的標籤，幫電商做到精準「神推薦」，數位時代，2020.07.06

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如何打造一個「頂級數據科學團隊」？

TechOrange，如何打造一個「頂級數據科學團隊」？ Linkedin：狂用 A/B Test 就對了！，2020/07/09 (本文經合作夥伴 大數據文摘 授權轉載，並同意 TechOrange 編寫導讀與修訂標題，原文標題為 〈數據科學家”或許不再性感，但“數據團隊”的產業化才剛開始 〉。)

那麼到底如何讓數據的價值最大化呢？從團隊運作方式、商業影響力設定和社會責任等角度，許亞給出了 LinkedIn 的答案：「嵌入式工作，中心化管理」，數據科學團隊更加「專業化」、「工程化」。 

和多數網路服務公司一樣，LinkedIn 的數據科學團隊規模也在近幾年飛速增長。許亞表示，僅是近兩年來，LinkedIn 的數據團隊擴張了近一倍，從 150 人增加到目前的 300 多人。 

許亞提到的數據團隊是指 LinkedIn 中心化的數據科學部門。 如果用一句話來概括 LinkedIn 的中心數據科學團隊的運作方式，那就是「嵌入式工作，中心化管理」。 

和國內不少互聯網公司將數據分析師歸屬於業務 BU、向業務主管匯報不同，LinkedIn 的數據科學團隊成員由許亞的中心部門統籌。雖然在項目工作上，數據科學家們依然會在工位分佈和職能上與業務部門緊密聯繫，但是從職級從屬上，都直接向許亞匯報，不同領域的數據科學家在工作中會有交集，還會一起開會。...

ESG now a third of MioTech’s A.I. business

MioTech, ESG 101

digfin group, ESG now a third of MioTech’s A.I. business,  September 9, 2019.

MioTech builds A.I.-based solutions to help buy sides get insight from data analytics, and to help sell-side research departments and private banks’ relationship managers tell data-driven stories. It bases its service on building a library of cross-references (a “knowledge graph”) around a multitude of data points on Asian companies. The idea is to use big-data correlations to spot patterns....

Recyclers turn to AI robots after waste import bans

Adam Green, Recyclers turn to AI robots after waste import bans, Financial Times, 2020/7/1.

To recycle in a cost-effective, comprehensive and safe way, goods must be broken down into their constituent commodities to be sold on, in a process that has been likened to “unscrambling an egg”....

Automation often stokes anxiety about mass unemployment, but the recycling sector has been struggling to find enough workers. The US waste and recycling industry has suffered labour shortages in recent years. By limiting the influx of foreign workers to do jobs locals are not keen on, the UK’s departure from the EU is expected to hit the UK’s waste management sector hard. 

“This technology is creating a sustainable workforce for jobs that aren’t being filled,” says Mr Wirth. “These are the dull, dirty, dangerous kind of jobs which robotics and AI is perfect for.”