(오늘의 짤방) 중간에 건물 안 보이는 분? (via @Remini_scence)
- 웹/앱 소식
 - 개발/관리도구 소식
- Google Interview University
 - The Ops Identity Crisis
 - Project delays: why good software estimates are impossible
 - Books Programmers Don't Really Read
 - GitHub's 7 top productivity tools for programmers
 - 내가 추천하는 프로그래머 필독서 50선
 - Taking PHP Seriously
 - Pure Javascript OCR for 62 Languages
 - An Introduction to Chart.js 2.0 — Six Simple Examples
 - A beginner's guide to setting up a development environment on Mac OS X
 - Java 8 - Journey of for loop in Java, for(index) to forEach()
 - The Open Guide to Amazon Web Services
 - Hello, Yarn!
 - Network requests can always fail
 - Algorithms for making more interesting mazes
 - 리누스 토발즈 "ARM보다 x86을 더 선호한다 왜냐면..."
 - [번역] x64 어셈블리 소개
 - 20 Java and Programming Quotes to Motivate Yourself
 - Latency numbers every programmer should know
 - Heap 영역에서 발생하는 취약점을 알아보자!
 - Art of README
 - 리드미 파일 핵심
 - Amlogic S905 SoC: bypassing the (not so) Secure Boot to dump the BootROM
 - 해외 개발자 코딩 면접에 관해
 - 개발자 불평 2.5만건 분석해보니...
 - Understanding /proc
 - TOO MANY TOOLS AND FRAMEWORKS
 - A curated list of awesome CMake scripts, modules, examples and others.
 - How to Program an NES game in C
 - Karabiner (KeyRemap4MacBook) is a powerful utility for keyboard customization.
 - Ahead-of-Time (AOT) Compilation May Come to OpenJDK HotSpot in Java 9
 - Ways to Make Code Reviews More Effective
 
 - 고성능 서버/데이터베이스 소식
- 신한은행, 인터넷뱅킹에 클라우드 도입하기까지
 - Twitter는 어떻게 1초에 3,000개의 이미지를 처리하고 있나?
 - Scaling in Bitbucket Cloud: new features and reliability numbers
 - Azure App Service improves Node.js and PHP developer experience
 - SQL Server DB 메모리 사용률이 계속 높아요.. 메모리 사용률 98%의 오해
 - A parallel recommendation engine in Julia
 - Designing your SaaS Database for Scale with Postgres
 - Netflix Zuul Gets a Makeover to a Asynchronous and Non-Blocking Architecture
 - Twitter Open Sources Stream Processing Engine Heron
 
 - 빅데이터/인공지능 소식
- Intel will add deep-learning instructions to its processors
 - PREPARING FOR THE FUTURE OF ARTIFICIAL INTELLIGENCE
 - LSTM 네트워크 이해하기
 - Scikit-Learn Tutorial Series
 - 현실 속으로 확장하고 있는 인공지능
 - Connected car report 2016: Opportunities, risk, and turmoil on the road to autonomous vehicles
 - As DNA reveals its secrets, scientists are assembling a new picture of humanity
 - 8 Best Machine Learning Cheat Sheets
 - WHERE IS APACHE HIVE GOING? TO IN-MEMORY COMPUTING.
 - Autumn Lecture by Demis Hassabis
 - The Genius of Learning: MacArthur Fellow Danielle Bassett says learning works best when you don’t overthink it.
 - Graph-powered Machine Learning at Google
 - TensorFlow in a Nutshell — Part One: Basics
 - Udacity open sources an additional 183GB of driving data
 - Face Recognition with Custom Dataset
 - Uber’s self-driving cars are already getting into scrapes on the streets of Pittsburgh
 - Deep Learning Tutorial
 - Bubble sheet multiple choice scanner and test grader using OMR, Python and OpenCV
 - The Programs That Become the Programmers
 - (Quora) 10 more lessons learned from building Machine Learning systems
 - WHY DEEP LEARNING IS SUDDENLY CHANGING YOUR LIFE
 - LEARNING REINFORCEMENT LEARNING (WITH CODE, EXERCISES AND SOLUTIONS)
 - The Berkeley Document Summarizer is a learning-based, single-document summarization system that extracts source document content, exploits syntactic information to compress it, and uses coreference constraints to ensure clarity.
 - How deep learning allowed computers to see: 이미지넷 TED 재미있음.
 - Introducing the Open Images Dataset by Google
 - subpixel: A subpixel convnet for super resolution with Tensorflow
 
 - 기타 읽을거리
- Creating a Pastry Chef From Scratch
 - We aren’t meant to be happy all the time—and that’s a good thing
 - Analyzing the Patterns of Numbers in 10 Million Passwords
 - Barack Obama, Neural Nets, Self-Driving Cars, and the Future of the World
 - RSA ANIMATE: Economics is for Everyone!
 - Return to the Teenage Brain
 - 지식 노동자와 직장 민주화
 - 별★을 따고 싶나요? 대작 만들어야 대박 난다
 - Historically speaking, the Tesla deaths are not out of the norm
 - Why is TV 29.97 frames per second?
 - A Nonlinear History of Time Travel
 
 
(보너스 짤방) 프로그래머 3 유형 (via @InfoQ)


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