[B급 프로그래머] 12월 1주 소식(빅데이터/인공지능, 암호화폐/블록체인, 읽을거리 부문)

(오늘의 짤방: 와 이 간판 똑똑하네 ㅋㅋ via @Hatezu)

1. 빅데이터/인공지능
   • 검색 결과로 보는 최고의 인기제품?··· 구글, ‘구글 쇼핑 100’ 사이트 오픈
   • "내년 AI면접 무료사이트 개설…구직자 부담 줄어들 것"
   • The AI Index Report by Stanford Univ.
   • Interpreter, Google’s real-time translator, comes to mobile
   • 머신러닝 단기집중과정: 텐서플로우 API 사용 - Google의 실용적인 머신러닝 속성 입문 과정
   • A Survey on Transfer Learning
   • We analyzed 16,625 papers to figure out where AI is headed next
   • Probability Distribution Explorer
   • 2019’s Top Machine and Deep Learning Research Papers
   • Financial Time Series Forecasting with Deep Learning : A Systematic Literature Review: 2005-2019
   • Train/Test Split and Cross Validation in Python
   • A Framework for Understanding Unintended Consequences of Machine Learning
   • [초점] AWS, 업무 혁신과 개선 위한 새로운 5가지 머신러닝 서비스는?
   • "23억 운행 중 사건사고 비율은..." 우버 안전 보고서 첫 공개
   • Detectron2 Tutorial (한국어 버전)
   • shrynk - Using Machine Learning to learn how to Compress
   • hash - Build simulations in minutes
   • PyTorch: An Imperative Style, High-Performance Deep Learning Library
   • Biased Algorithms Are Easier to Fix Than Biased People
   • Robots in Finance Could Wipe Out Some of Its Highest-Paying Jobs
   • Practical AI - A practical approach to machine learning.(학습 사이트)
   • [독서광] 세상에서 가장 재미있는 통계학(본인이 쓴 글)
   • The Future of Data Engineering
   • THE 7 QUESTIONS YOU NEED TO ASK TO OPERATE DEEP LEARNING INFRASTRUCTURE AT SCALE
   • A guideline for building practical production-level deep learning systems to be deployed in real world applications.
   • DeepSpeech 0.6: Mozilla’s Speech-to-Text Engine Gets Fast, Lean, and Ubiquitous
   • "Python already replaced Excel in banking"
   • Excel vs Python: How to Do Common Data Analysis Tasks
   • Introducing SafeLife: Safety Benchmarks for Reinforcement Learning
   • Time Series Prediction - A short introduction for pragmatists
   • Deep Learning for Time Series Forecasting
   • Metaflow, A framework for real-life data science - Metaflow makes it quick and easy to build and manage real-life data science projects.
   • Amazon SageMaker Autopilot – Automatically Create High-Quality Machine Learning Models With Full Control And Visibility
   • A new algorithm makes editing video as easy as editing text
   • 탐욕스럽고, 불안정하며, 이해하기 어렵고, 피상적인 딥러닝
   • <배수연의 전망대>'21세기 트래이딩 룸'과 특이점(singularity)
   • Amazon’s Alexa Can Now Remind You When To Take Your Medications
   • 도커에서 데이터과학까지, 오픈소스가 '또 한 번' 세상을 바꾼 방법
2. 암호화폐/블록체인
   • Brave Passes 10 Million Monthly Active Users, and Sees 19% Growth since 1.0 Launch
   • 위안화 국제 결제 고작 2%, 中 판도 뒤집을 ‘디지털 화폐’ 곧 나온다
   • Amazon Braket – Get Started with Quantum Computing
   • Journey to Kubernetes with Blockchain Network(+CKAD)
   • An Overview of Cryptography
3. 읽을거리
   • Myers-Briggs Type Indicator와 직업 상담
   • Declines in vocabulary among American adults within levels of educational attainment, 1974–2016
   • Operations and Internal Communication Strategies For Effective CEOs
   • Without women the novel would die: discuss
   • Why You Should Have (at Least) Two Careers
   • 재계 게임 체인저는 신기술 아닌 ‘소비자 행동 훔치기’
   • 포털을 떠나지 못하는 사람들
   • 한국 청년이 만약 100명이라면
   • 지혜와 인격의 핵심
   • CoScreen™ turns your secondary display into your joint team desktop.
   • ATEM Mini - 유뷰브 등 비즈니스 프레젠테이션에 필요한 전문 멀티 카메라 프로덕션 구축 도구
   • 1위는 볼 필요없는 동영상앱···연령·성별 '2위 싸움' 불붙었다
   • Anki - Powerful, intelligent flash cards. Remembering things just became much easier.(강력한 암기 도구)
   • [청론직설] "국내 스타트업 생태계 취약점은 살 만한 기술기업이 없다는 것"
   • Apple, Google, and Netflix don't require employees to have 4-year degrees, and this could soon become an industry norm
   • 짐 시몬스, 사상 가장 뛰어난 돈 버는 기계

보너스: What Makes The Top 10% Of Founders Different? - Michael Seibel

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