用真金白银支持的LP，和愿意赌上职业声誉操盘的GP，肯定是看到了什么藏在政治正确背后的价值。豪华且优质的LP 根据公开资料，Raven Indigenous Capital的LP包括McConnell Foundation、MacArthur Foundation、Bush Foundation等大型基金会；美国银行、温哥华储蓄信贷联盟（VanCity Credit Union）、加拿大电信运营商Telus旗下的Telus...
Bush Foundation等大型基金会;美国银行、温哥华储蓄信贷联盟(VanCity Credit Union)、加拿大电信运营商Telus旗下的TelusPollinator Fund、英属哥伦比亚省政府旗下的InBC Investment Corp、加拿大联邦政府商业发展局(BDC and Economic Development Canada)等。
Managing Partner, Private Credit Navis Capital Partners Smita Aggarwal Global Investments Advisor Flourish Ventures Paul Robine Founder & CEO TR Capital Ivan Kwong Principal, Global Impact KKR Caroline Wee Investment Partner, AsiaCirculate Capital
(having stayed remarkably true to their mission and fund strategy across many fund cycles), but funds like Union Square Venture also come to mind. Because they’re going after alpha there’s more of a risk of a badly performing fund (and bad vintage) but they’re also more likely as a...
不同的学习方法找到的规律是不一样的,得到的g(x)也不一样。给出的这个例子里面的六个九宫格其实就是机器学习里面的数据D,我们可以找到并且看见的,而那个我们需要预测的就是我们看不见并且要预测的大数据。比如刚刚的credit card,我们要预测的其实就是所有人,而不是仅仅的只是数据集里面的。
Array Fintech US Credit / Lending Confidential Loco Gaming India Live Streaming Platform Sequioa, Hashed, Krafton, Hiro Capital, Lumikai Yassir Mobility Africa Ride Sharing DN Capital, Endeavor Catalyst. Quiet Capital, Spike Ventures, Moving Capital, ect. Candid Healthcare US Personal Health Bessemer...
总的来说,国内目前的基金刷数据的成分事实上还很少,以上的这些案例基本都是在美国见到的,原因的一方面大概是穷则思变,90年代的许多老VC基金们的新一代要融资,如果业绩不够骄人,得想方设法与Sequoia、Accel、Benchmark这样的传统贵族和Union Square、Foundry、Wing这样的新锐基金拼抢有限的LP资源而绞尽脑汁想出的办法...
不同的学习方法找到的规律是不一样的,得到的g(x)也不一样。给出的这个例子里面的六个九宫格其实就是机器学习里面的数据D,我们可以找到并且看见的,而那个我们需要预测的就是我们看不见并且要预测的大数据。比如刚刚的credit card,我们要预测的其实就是所有人,而不是仅仅的只是数据集里面的。
16% are from the european union, and 84% are non-eu citizens. furthermore, 32% of estonian startup founders have a foreign origin. tallinn as the growing tech hub of estonia in terms of growth rates at the city level, according to the state of tech report, tallinn stood out in 2022...
Much to their credit, the company’s founders (Victor,Steffen,LourdesandMatthias) were very early to the Generative AI wave, starting the company at a time (2017) when there was significant technology risk and limitations, to the point that what they were doing was probably a bit weird, if...