Note: I am not affiliated with any of the writers in this article. These are simply books and essays that I’m excited to share with you. There are no referrals or a cent going in my pocket from the authors or publishers mentioned. Reading is a vitamin for the brain; please support your favorite writers and enjoy!

注意：本文不涉及任何作者。 這些僅僅是我很高興與您分享的書籍和論文。 我所提到的作者或出版商沒有推薦人或一分錢。 讀書是大腦的維生素。 請支持您最喜歡的作家并享受！

Welcome to this month’s reading list. Great time to be in Data Science as tons of cool models are finding their way into the public conscious, cool products and novel use-cases are getting released, and important conversations are surfacing and becoming part of the broader conversation.

歡迎來到本月的閱讀清單。 大量的炫酷模型正進入公眾意識，炫酷產品和新穎用例不斷涌現，重要的對話正逐漸浮出水面并成為更廣泛對話的一部分，因此，進入數據科學領域的時機已到 。

On to this month’s list!

進入本月的清單！

在公共場所工作：開源軟件的制作和維護 (Working in Public: The Making and Maintenance of Open Source Software)

Working in Public is a spectacular look at open source, both its successes and its shortcomings. If you’re a data person relatively new to open source, then this book will be a great look at the inner workings of open source, as well as some of its history.

在公開場合工作對開放源代碼既有成功之處，也有不足之處。 如果您是相對不熟悉開放源代碼的數據人員，那么這本書將很好地了解開放源代碼的內部運作方式以及它的一些歷史。

And if you’re a veteran of open source, you’ll certainly enjoy the recap of history and reflections on where things are going. I know I especially enjoyed the framing of this zeitgeist of open source that has impacted so much of our engineering and product culture.

而且，如果您是開源的資深人士，那么您一定會喜歡歷史的回顧和對事情發展方向的反思。 我知道我特別喜歡這種影響著我們工程和產品文化的開源時代精神。

I’m fairly addicted to these books being put out by Stripe Press. You can tell their printing process is relatively cheap, but the formatting is really great. And clearly the editors have a high bar for quality. LINK

我對Stripe Press出版的這些書非常上癮。 您可以說他們的打印過程相對便宜，但是格式確實很棒。 顯然，編輯人員對質量的要求很高。 鏈接

范圍：為何通才在專業化世界中獲勝 (Range: Why Generalists Triumph in a Specialized World)

I’ve had this book recommended to me by 3 different friends since its 2019 release. In startup culture many of us are addicted to personal growth, min-maxing our time and effort, and all sorts of other potentially unhealthy behaviors. So it’s no surprise that Range gets recommended in my circle.

自2019年發行以來，我一直被3個不同的朋友推薦給我這本書。 在創業文化中，我們許多人都沉迷于個人成長，最小化我們的時間和精力以及其他各種潛在的不健康行為。 因此，在我的圈子中推薦Range不足為奇。

Range tries to argue against overspecialization, especially in the short-run. It doesn’t try to discredit specialization, just to say that the majority of complex modern events and situations require more generalization and the ability to adapt. Whereas deep specialization may benefit the chess player, it may not benefit the business leader. One comment about all these books written by the Gladwells and Epsteins of the world: if we stopped trying to min-max every little thing and spent less time philosophizing on whether to do this vs that then maybe we would have more time to try, fail, try again, and figure out our own life philosophies. Food for thought. LINK

范圍內試圖反駁 了專業化，尤其是在短期內。 它并沒有試圖抹煞專業性，只是說大多數復雜的現代事件和情況需要更多的概括性和適應能力。 雖然深厚的專業知識可能會使國際象棋棋手受益，但可能不會使業務負責人受益。 關于世界上的格拉德威爾斯和愛潑斯坦寫的所有這些書的一則評論：如果我們停止嘗試最小化每件事的最小化，并且花更少的時間思考是否要這樣做，那也許我們會有更多的時間去嘗試，失敗，再試一次，弄清楚我們自己的生活理念。 值得深思。 鏈接

聚在一起：如何與您的人民建立社區 (Get Together: How to Build a Community With Your People)

Get Together is all about community building. From the magic of communities to practical advice for building and managing communities, I’m about 1/3 of the way through and excited to read more!

聚在一起就是社區建設。 從社區的魔力到有關構建和管理社區的實用建議，我已經走了大約1/3的路程，并為內容而感到興奮！

Communities are taking over the internet, from random forums to Discord servers to Discourse to Reddit; online communities are more relevant than ever.

社區正在占領互聯網，從隨機論壇到Discord服務器，再到Discourse to Reddit。 在線社區比以往任何時候都更重要。

In Data Science there are tons of great communities. One of my favorites is Papers We Love. There’s also further opportunity in the corporate world for exciting folks across the organization by exposing them to new ideas in the field, building communities to showcase your work, and more. Build great communities! LINK

在數據科學中，有很多偉大的社區。 我最喜歡的作品之一是《我們愛的論文》 。 在企業界，還有更多的機會可以使組織中的激動人心的人接觸到該領域的新想法，建立社區來展示您的工作，等等。 建立偉大的社區！ 鏈接

八月的文章 (Articles for August)

Here are some articles I read in July/August across AI/ML, Quant Finance, and personal growth.

以下是我在7月/ 8月閱讀的有關AI / ML，Quant Finance和個人成長的一些文章。

Language Models are Few Shot Learners by Open AI.

語言模型是 Open AI的 少數學習者 。

GPT-3 is so hot at the moment that it’s definitely worth giving this paper a read. Lengthy paper from a ton of contributors over at Open AI but it’s well worth it.

GPT-3目前非常熱門，絕對值得閱讀本文。 Open AI上來自眾多貢獻者的冗長論文，但這是值得的。

Proof of X by Julian Lehr

X 的 證明， 朱利安·萊爾(Julian Lehr)

Julian’s blog is easily one of my favorites on the internet. It’s a combination of insightful ideas, beautiful design, and tasteful curation of modern ideas in tech and digital culture. Proof of X is yet another great entry, this time a deep dive on signaling.

朱利安的博客很容易成為我在互聯網上的最愛之一。 它結合了有見地的想法，精美的設計以及高科技和數字文化中現代思想的高雅策展。 X的證明是又一個很好的入門，這一次是對信號的深入探討。

Do Option Prices Forecast Aggregate Stock Returns by Christopher Jones, Haitao Mo, and Tong Wang

期權價格預測 克里斯托弗·瓊斯，莫海濤和王彤的 股票總回報

A study by a group of finance academics on the impact of call-put implied volatility spreads and lending fees on future returns. Enjoyable read for the finance, investing, and trading nerds among us.

一組金融學者針對看跌期權隱含波動率利差和貸款費用對未來收益的影響進行的研究。 在我們當中，對于金融，投資和交易書呆子的閱讀愉快。

‘Give Away Your Legos’ and Other Commandments for Scaling Startups by First Round Capital

第一輪資本 “放棄你的樂高積木”和其他命令來擴大創業規模

First Round arguably has the best VC content on startup building in the game. A healthy balance of actionable insights and VC platitudes (but mostly actionable insights!). This entry highlights the pain of scaling from startup to company, from small team to proper organization. From legos to bricks.

可以說，《第一輪》在游戲的啟動階段擁有最佳的VC內容。 在可行的見解和VC陳詞濫調之間保持健康的平衡(但大多數都是可行的見解！)。 這篇文章凸顯了從創業到公司，從小團隊到適當組織的擴展的痛苦。 從樂高積木到積木。

Stay safe everyone! See you soon.

大家安全！ 再見。

Interested in more regular Data Science book lists and news from our field? Join Dataset Daily, a weekly Data Science newsletter.

對更多常規的數據科學書籍列表和我們領域的新聞感興趣嗎？ 加入每周一次的Data Science新聞快訊Dataset Daily。

Let’s continue the conversation on Twitter.

讓我們繼續在Twitter上進行對話。