然後網站上的標示寫沒有支援 IE 與 Edge，不知道是真得不支援還是沒列上去而已... XD
是一篇老文章了... (2014 年的文章，最近從其他地方提起)
這邊講的是英文，不過同樣方式也可以拿來分析其他語言：「The distribution of letters in English words」，原始文章在「Graphing the distribution of English letters towards the beginning, middle or end of words」。
The data is from the entire Brown corpus in the Natural Language Toolkit. It's a smaller and out-of-date corpus, but it's open source and easy to obtain. I repeated the analysis with COHA, the Corpus of Historical American English, a well-curated, proprietary data set from Brigham Young University for which I have a license, and the only differences were in rare letters like "z" or "x".
2015 的文章以及演講，最近冒出來看到的。Google 的 Peter Norvig 提到了用 ML 的方式分析，發現程式競賽的成績與工作品質的負面相關性：「Being good at programming competitions correlates negatively with being good on the job」。
換句話說，程式競賽的成績反而是是個負面指標 (對於 Google 內的情況分析出來的，所以是基於 Google hiring process 的前提過濾過的)。
In this talk, Peter talked about how Google did machine learning and at one point he mentioned that at Google they also applied machine learning to hiring. He said that one thing that was surprising to him was that being a winner at programming contests was a negative factor for performing well on the job.
Peter added that programming contest winners are used to cranking solutions out fast and that you performed better at the job if you were more reflective and went slowly and made sure things were right.
What he's talking about is the fact that several extremely important parts of software engineering are not included in these contests, for example code reusability, maintainability, decomposition of the problem using the OO paradigm, etc. All of these make a good engineer, but are not necessarily needed in competitive programming contests.
CMU 的 CS (Computer Science) 發的新聞稿：「Carnegie Mellon Offers New Master's Degree in Product Management」。
One-Year Program Turns Computer Professionals Into "CEOs of the Product"
除了 CMU CS 外，也結合了 CMU 的 Tepper Business School 一起開：
A joint program of the university's School of Computer Science (SCS) and Tepper School of Business, the Master of Science in Product Management (MSPM) program will start January 2018.
另外一個不同角度的 Product Management。
No programmers really work 60-80 hours a week, especially in a 5 day span. That is a 12-16 hour day, 5 days a week.
I promise you that any company that has programmers “working” that many hours is really only getting 2-4 hours of real work out of them each day. The rest of the time will be filled with pointless meetings, a fair amount of web browsing, and then a whole lot of looking busy.
DeepMind 家的 AlphaGo 又要重出江湖了：「Exploring the mysteries of Go with AlphaGo and China's top players」。這次將會跟中國的頂尖職業棋手對弈，裡面提到三種賽制：
The summit will feature a variety of game formats involving AlphaGo and top Chinese players, specifically designed to explore the mysteries of the game together. The games will include:
- “Pair Go” — A game where one Chinese pro will play against another...except they will both have their own AlphaGo teammate, alternating moves, to take the concept of ‘learning together’ quite literally.
- “Team Go” — A game between AlphaGo and a five-player team consisting of China’s top pro players, working together to test AlphaGo’s creativity and adaptability to their combined style.
- “Ke Jie vs AlphaGo” — Of course, the centerpiece of the event will be a classic 1:1 match of three games between AlphaGo and the world’s number one player, Ke Jie, to push AlphaGo to (...perhaps beyond!) its limits.
另外有一篇「Innovations of AlphaGo」講了不少年初 AlphaGo 連勝六十盤的對局給人類棋手的啟發。
另外 DeepMind 的 CEO，Demis Hassabis 前幾天剛好有給了一個演講，也是講了不少東西 (不過都是之前就提過的)：
這邊提到在教育領域所設計的制度所期望帶來的效果，與實際帶來的效果的差異：「Every attempt to manage academia makes it worse」。
這邊左邊的 Incentive 都是可被量化的方式，而中間有預期的效果，右邊則是實際發生的效果。跟台灣校園裡看到的情況很接近。
可以看出來，你對用腦吃飯的人設計 KPI 制度，大概都是這樣的下場 XDDD