Facebook. 國立高雄大學 - National University of Kaohsiung. BI INTELLIGENCE. 不只是討拍! Facebook推自殺防治工具，用戶可回報有輕生傾向的貼文. WhatsApp 依舊最多人用，LINE 則是表現不錯的「其他」 根據《SimilarWeb》的資料顯示，目前全球最受歡迎的幾款通訊 App，共包括了 WhatsApp，Facebook Messenger，Viber，台灣人熟知的 LINE，以及中國的微信。
而其中最多人使用的 App，則一如許多的人印象，依然是早在 2010 年就在行動平台上佈局的 WhatsApp。 依據《SimilarWeb》在187 個國家的調查（雖然其中僅包括 Android 手機的資料，不包含 iPhone 或 Windows Phone），WhatsApp 在其中 109 個國家的使用率居冠，擁有超過一半的比例。 其中包括俄國、巴西、印度、英國、德國、西班牙，中南美洲（甚至包含整個南美），和整個非洲的用戶，都主要使用 WhatsApp 當作日常使用的通訊軟體。 不過值得注意的是，早從 2013 年，WhatsApp 便失去美國市場的龍頭地位，將位子讓給 Messenger。 ▲ 各種通訊軟體的使用比例。
緊追在後的則是 Facebook 開發的 Messenger，共在 WhatsApp 以外的 49 個國家居於主流，其中包括美國，加拿大，澳洲，多數東歐國家，以及北歐國家。 Viber 則是受歡迎程度居第三的軟體，也是剩下的 App 中，唯一稱霸超過 10 個國家的軟體。 至於台灣人熟知的 LINE 除了在台灣，也在另外三個國家的使用率中稱霸，包括日本、泰國，以及讓人意外的中亞國家土庫曼。 The Most Popular Messaging App in Every Country. 7 Types of Regression Techniques you should know. Introduction Linear and Logistic regressions are usually the first algorithms people learn in predictive modeling.
Due to their popularity, a lot of analysts even end up thinking that they are the only form of regressions. The ones who are slightly more involved think that they are the most important amongst all forms of regression analysis. The truth is that there are innumerable forms of regressions, which can be performed. 「大數據」到底與我有什麼關聯？ 5 張圖，一次弄懂商業界的熱門關鍵字！ 2015 IoT 的重要里程碑. (photo by Dragan) 才在不久之前，人們還只是單純猜測物聯網 (IoT) 將會如何改變世界，如今就見證了 IoT 蘊含的技術潛力確已融入諸多產品與服務。
352306 1. 物聯網技術大剖析. Big data myths and facts. 使用 PEAR的Text_CAPTCHA保护Web表单[翻译] - mikespook - 博客园. 使用 PEAR的Text_CAPTCHA保护Web表单 作者 Marcus Whitney 翻译 mikespook 来源 当你在网络上有公开的表单的时候，你总是需要去提防那些使用你的程序来满足自己的意图的那些人。
黨營事業知多少. 本文將就國民黨營事業的社會網路結構進行深入探討，資料來源為 台灣公司關係圖 6 月份資料。
How Twitter Handles 3,000 Images Per Second. Today Twitter is creating and persisting 3,000 (200 GB) images per second.
Even better, in 2015 Twitter was able to save $6 million due to improved media storage policies. It was not always so. Twitter in 2012 was primarily text based. A Hogwarts without all the cool moving pictures hanging on the wall. It’s now 2016 and Twitter has moved into to a media rich future. Henna Kermani, a Software Development Engineer at Twitter, tells the story of the Media Platform in an interesting talk she gave at Mobile @Scale London: 3,000 images per second. Some of the most interesting lessons from the talk: Doing the simplest thing that can possibly work can really screw you. 數位時代 - 全家便利商店最近積極佈局行動商務，除了日前將原本線下的貼紙集點改成手機的 FamilyMart App... Gallery: How networks help us understand the world. As designer Manuel Lima points out in his TED Talk, A visual history of human knowledge, the network has become a powerful way to visualize much of what is going on in the world around us.
“Networks really embody notions of decentralization, of interconnectedness, of interdependence,” says Lima. “This way of thinking is critical for us to solve many of the complex problems we are facing nowadays, from decoding the human brain to understanding the vast universe out there.” Here, Lima shares a few of his favorite network graphics. The Strengths of Nations This image shows the connections between scientific disciplines such as astrophysics, math and biochemistry. Visualizing the Bible This 2007 map by Chris Harrison shows 63,779 cross-references found in the Bible. FlowerGarden This visualization by Greg Judelman and Maria Lantin shows the online discussion at a live event.
RISD.tv. Customer Journey Analytics and Data Science. Where do customers abandon the shopping process?
Is it the same in every geography? Audience of One…. Who are your fans versus haters in the marketplace? How do customers feel about your products? How engaged are customers with your brand versus your competitors’ brands across social media and web channels? Fortune 500 companies are making large investments around Programmatic Marketing, Sales and Service (“marketing that learns”). One of most often implemented use case in Programmatic Marketing is customer journey mapping and analytics. 老主顧要贈品遭酸拿太多 王品店長嗆：奧客，來鬧事的！ 等公車還能吹冷氣 高市「超商公車亭」好舒適. 4 Lessons for Brilliant Data Visualization. Get some pointers on data visualization from a noted expert in the field, and gain some insight into creating your own brilliant visualizations by following these 4 lessons.
By Dr. Randal Olson. Last year, the vaccination debate was all the rage again. “Pro-vaxxers” were loudly proclaiming that everyone should get vaccinated and discussing the science behind it, and “anti-vaxxers” were casting their doubts and still refusing to get vaccinated for personal reasons. Around that time, The Wall Street Journal released a brilliant series of heat maps showing infection rates for various diseases over time, broken down by state.
Today, I would like to revisit the WSJ’s heat maps through the lens of a data visualization practitioner. For the curious, I’ve released my notebook with the Python code used to generate the new visualizations. Categorical color palettes should not be used to display continuous values One exception to this “rule,” of course, is diverging color palettes. 4 Lessons for Brilliant Data Visualization. SQL Injection 範例(登入範例) @ 史丹利愛碎念. 量產Pass & Board多功能護照包HereO 群眾集資/ 群眾募資平台 Crowdfunding platform in Taiwan. How girls hide their age :D :D - C/C++ Programming Language. I-hsien Ting - See you in New Jersey this summer! MISNC...