- 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
- 암호화폐/블록체인
- 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
댓글 없음:
댓글 쓰기