北美高校最火爆的 Hackathon ( 黑卡马拉松）

V2EX = way to explore

V2EX 是一个关于分享和探索的地方

现在注册

已注册用户请登录

• 请不要在回答技术问题时复制粘贴 AI 生成的内容

这是一个创建于 2619 天前的主题，其中的信息可能已经有所发展或是发生改变。

今天小编给编程和硬件爱好者们带来一些开拓视野，结交极客，体验创造乐趣，以及扩展人脉的活动。

这里是部分北美高校最火爆的 Hackathon ( 黑卡马拉松）。部分活动提供国际签证邀请信以及国际机票报销。部分学校提供接待学生，安排在本校宿舍住宿。（答主之前参加了麻省理工的活动，住在了学校宿舍，有吃有喝，好棒！）。全球顶级的 Hackathon 是工程和科技专业本科生非常值得留下的大学回忆（谷歌，脸书，亚马逊，微软等公司都来开讲座哦！）。

正在举办

hacktech, Mar 2018, California Institute of Technologies 加州理工大学
hackillinois, Feb 23 - 25, 2018, University of Illinois 伊利诺伊香槟分校
vthacks, Feb 2018, Virginia Tech 弗吉尼亚理工
TreeHack, Feb 16 - 18, 2018, Stanford 斯坦福
hack@brown, Feb 3-4, 2018, Brown 布朗大学
Hack@WPI, Jan 12 - 14, Worcester Polytechnic Institute 伍斯特理工（欢迎来我校玩哦）
boilermake, Jan 20 - 22, 2017, Purdue 普度大学

申请关闭或已经结束

(Application Closed 申请关闭) hacktx, Oct 28 - 29 2017, University of Texas Austin 德州奥斯汀
(Ended 已结束) hackgt, Oct 13 - 15, 2017, Georgia Institute of Technology 佐治亚理工
(Ended 已结束) calhacks, Oct 6 -8, 2017, University of California--Berkeley 加州伯克利
(Ended 已结束) MHacks, Sept 22 - 24, 2017, University of Michigan North Campus 密歇根安娜堡
(Ended 已结束) HackMIT, Sept 16 - 17, 2017, MIT 麻省理工（我来了这个！百度居然是赞助商，每项百度奖给一万美金现金！）
(Ended 已结束) hophacks, Sept 15 - 17, 2017, John Hopkins 约翰霍普金斯
(Ended 已结束) bigredhacks, Sept 15 - 17, 2017, Cornell 康奈尔
(Ended 已结束) HackCMU, Sept 8 - 9, 2017, CMU 卡内基梅隆
(Ended 已结束) pennapps, Sept 8 - 10, 2017, University of Pennsylvania 宾夕法尼亚

这是我的 Github ( byliuyang/CollegeHacks ), 后续会更新更多的活动，喜欢的朋友记得给我一些小星星哦！

附赠 Alpha Go Zero 论文： https://www.nature.com/nature/journal/v550/n7676/full/nature24270.html

Artificial intelligence research has made rapid progress in a wide variety of domains from speech recognition and image classification to genomics and drug discovery. In many cases, these are specialist systems that leverage enormous amounts of human expertise and data.

However, for some problems this human knowledge may be too expensive, too unreliable or simply unavailable. As a result, a long-standing ambition of AI research is to bypass this step, creating algorithms that achieve superhuman performance in the most challenging domains with no human input. In our most recent paper, published in the journal Nature, we demonstrate a significant step towards this goal.

PS: 我刚刚和小伙伴报名了 Udacity 的《自动驾驶汽车入门》课程，感兴趣的朋友可以看看，还有 18 天开课（我可怜的 800 刀就这么给网课了）

1 ） Bayesian Thinking 贝叶斯思维

Learn the framework that underlies a self-driving car ’ s understanding of itself and the world around it, and to see the world the way a self-driving car does.

2 ） Working with Matrices 矩阵运算

This course will focus on two tools which are vital to self-driving car engineers: object oriented programming and linear algebra.

3 ） C++ Basics C++入门

This course is the first step in a rewarding journey towards C++ expertise. The goal is translation: get a program written in Python, and translate it into C++.

4 ） Performance Programming in C++ C++性能优化

Explore how to write good code that runs correctly. We ’ ll focus primarily on low level features of C++, but we ’ ll discuss other best practices as well.

5 ） Navigating Complex Data Structures 高级数据结构

Algorithmic thinking is a skill you ’ ll refine throughout your career. In this course you ’ ll focus on frequently used data structures and algorithms.

6 ） Visualizing Calculus and Controls 微积分

In this course you ’ ll learn basic calculus — the mathematics of continuity. You ’ ll also learn to use some of Python ’ s most popular visualization libraries.

7 ） Machine Learning and Computer Vision 机器学习与计算机视觉

In this course you ’ ll learn how a computer sees an image, and how we can use machine learning to teach a computer to identify images programmatically.

5 条回复 • 2017-10-23 23:38:40 +08:00