[B급 프로그래머] 8월 4주 소식(빅데이터/인공지능, 암호화폐/블록체인, 읽을거리 부문)

(오늘의 짤방: I do like this. @grightford)

1. 빅데이터/인공지능
   • AMD now has a larger GPU market share than NVIDIA
   • Deepnote is a new kind of data science notebook. Jupyter-compatible with real-time collaboration and easy deployment.
   • AI변호사 1~3위, 사람 변호사들 완패...참여자들 "AI능력 놀라워"
   • Flawed Algorithms Are Grading Millions of Students’ Essays
   • AI Notes is a series of long-form tutorials that supplement what you learned in the Deep Learning Specialization.
   • Fooling Neural Networks in the Physical World with 3D Adversarial Objects
   • "파이토치"냐 "텐서플로우"냐, 딥 러닝 프레임워크 선택 가이드
   • '학습용 데이터셋에서 편향성 식별 가능'··· IBM, 파이썬용 트러스티드 AI 툴킷 발표
   • "연구용 자율주행 데이터 무료 제공"··· 웨이모, 개방형 데이터세트 공개
   • “데이터 과학자 없는 머신러닝” AutoML의 이해
   • Auditing Content Features in FollowFeed
   • Notes on AI Bias
   • OpenSpiel is a collection of environments and algorithms for research in general reinforcement learning and search/planning in games.
   • OpenSpiel: A Framework for Reinforcement Learning in Games
   • 2019 SAS, R, or Python Survey Update: Which Tool do Data Scientists & Analytics Pros Prefer?
   • The best tools for machine learning infographic
   • United by feelings - Universal emotions are the deep engine of human consciousness and the basis of our profound affinity with other animals
   • Waymo’s Backseat Drivers: Confidential Data Reveals Self-Driving Taxi Hurdles
   • Creating an image recognition solution with Azure IoT Edge and Azure Cognitive Services
   • AI Engineer 파티 문제 제출
   • AMD, 차세대 아키텍처 RDNA 기술 백서 공개
   • Data Wrangling with pandas Cheat Sheet
   • An Amazon employee made an AI-powered cat flap to stop his cat from bringing home dead animals
   • Matplotlib cheat sheet
   • Ten simple rules for writing and sharing computational analyses in Jupyter Notebooks
   • How to Train Your ResNet 8: Bag of Tricks
   • From Research to Production with PyTorch
   • MLflow: An Open Platform to Simplify the Machine Learning Lifecycle
   • 10 Simple hacks to speed up your Data Analysis in Python
   • How to Handle Missing Timesteps in Sequence Prediction Problems with Python
   • [독서광] 시간은 왜 흘러가는가?(본인이 작성한 글)
   • The Future of Data Engineering
   • 추천시스템 이제는 돈이 되어야 한다.
   • Why we need better, bigger data to help combat food waste
   • WEWORK S-1 요약 정리
   • The State of AI and Machine Learning(이메일 등록 필요)
   • Recent Advances in Deep Learning for Object Detection
   • UPDATE: Disengagement Reports 2018 – Final Results
2. 암호화폐/블록체인
   • Apple Pay usage continues to lag in the United States, new data suggests
   • Ethereum Developer? It's Time to Scale Your Dapp on Layer 2 Today
   • 페북 리브라 또 시련?..."파트너사 이탈 분위기"
   • 비트코인 선물거래소 '백트', 다음 달 출시
   • Bitcoin’s race to outrun the quantum compute
3. 읽을거리
   • The Messy Reality of Personalized Learning
   • [문병로의 알고리즘 여행] 우아한 작업과 잡일의 비율
   • [기타] 특별한 세이브 시스템을 가진 비디오 게임들.
   • Time anxiety: is it too late?
   • How a flawed idea is teaching millions of kids to be poor readers
   • I Visited 47 Sites. Hundreds of Trackers Followed Me.
   • People Don’t Want to Be Compared with Others in Performance Reviews. They Want to Be Compared with Themselves
   • Datadog, Inc. S-1 Form
   • Meeting online has become the most popular way U.S. couples connect, Stanford sociologist finds
   • What is known about the new Boeing 737 MAX fault?
   • Blow to 10,000-hour rule as study finds practice doesn't always make perfect
   • You Can Thaw And Refreeze Meat: Five Food Safety Myths Busted
   • 정의선 ‘오픈 이노베이션’ 가속도… 올 스타트업 투자 1000억 돌파
   • Ignition: An Informal History of Liquid Rocket Propellants (1972) [pdf]
   • 왜 “큰 언어”의 문법이 덜 복잡할까?
   • 낡으면 새로 만든다는 흔한 루리웹 유저
   • A DEEP DIVE INTO AMD’S ROME EPYC ARCHITECTURE

EOB