(오늘의 짤방: Machine Learning will suffer via @towernter)
- 빅데이터/인공지능
- 무신사가 검색 품질을 관리하는 방법
- 김진철의 How-to-Big Dataㅣ에필로그 – 맺는 글
- “애플워치로 수집한 심박수 데이터, 일관성 떨어진다"
- AI 프로젝트 악순환 고리 끊어라··· 'ML옵스' 마인드셋이 필요한 이유
- 데이터 과학을 위해 '더 개선된' 최신 필수 파이썬 툴 6가지
- NVIDIA GPU Operator for k8s
- Node Feature Discovery – a Kubernetes add-on for detecting hardware features and system configuration!
- LINE 광고 데이터 파이프라인 BigDB
- Against overuse of the Gini coefficient
- Calculus Made Easy (1910)
- Introducing Triton: Open-Source GPU Programming for Neural Networks
- NVIDIA device plugin for Kubernetes
- 정규분포와 보편성과 랜덤 행렬
- 데이터 과학 미니북
- It’s Not a Self-Driving Car Unless You Can Sleep In It
- Eyes wide shut: How newborn mammals dream the world they’re entering
- Why and how should you learn “Productive Data Science”?
- Probability Cheat Sheet - Harvard University
- 9 Deadly Sins of Dataset Selection in ML
- When Graphs Are a Matter of Life and Death
- Exploring Data @ Netflix
- GitHub Copilot: A Powerful, Controversial Autocomplete for Developers
- Hand Labeling Considered Harmful
- Smoking: How large of a global problem is it? And how can we make progress against it?
- 이 해변은 존재하지 않습니다 (thisbeachdoesnotexist.com)
- <한국의 고도 성장기 종말>과 <IT 기술 변화>가 낳은 '문송'
- NeuroMorphic Predictive Model with Spiking Neural Networks in Python
- Problems for children from 5 to 15
- RawGraphs - The missing link between spreadsheets and data visualization.
- KLUE 한국어 데이터 셋
- 페이스북 Blenderbot 2.0 공개
- 퀀텀 컴퓨팅 기초 by 마이크로소프트
- Introduction to TorchShard
- 백지장도 'AI'가 맞들면 더 낫다··· 코딩 돕는 ML 도구 3가지
- 깃허브 코파일럿, 개발자 반응은?··· "놀랍도록 유용"vs"아직 미흡"
- why we're blind to the color blue
- Apache Heron - 실시간, 분산, fault-tolerant 스트림 처리 엔진 (heron.incubator.apache.org)
- How Many Numbers Exist? Infinity Proof Moves Math Closer to an Answer.
- Top Python Data Science Interview Questions
- Identify flowers and trees with open source
- Tech Giant가 되려면 뭐가 필요한가?
- 스타트업에서 데이터 팀 만들기 (erikbern.com)
- "Why do we use R rather than Excel?"
- Deep Reinforcement Learning is a waste of time
- WELCOME TO SIMULATION CITY, THE VIRTUAL WORLD WHERE WAYMO TESTS ITS AUTONOMOUS VEHICLES
- Train smarter with NVIDIA pre-trained models and TAO Transfer Learning Toolkit on Microsoft Azure
- Rules of Machine Learning: Best Practices for ML Engineering
- Tuplex - 병렬 빅데이터 처리 프레임워크
- '난독'의 시대…'읽는 뇌'의 퇴보에 대한 경고
- Building a data team at a mid-stage startup: a short story
- 아마존의 AWS 기반 기술 혁신 이야기 - 아마존 배송 센터를 중심으로
- Pandas not enough? Here are a few good alternatives to processing larger and faster data in Python
- Poisson's Equation is the Most Powerful Tool not yet in your Toolbox
- Restoring and Mining the Records of the Joseon Dynasty via Neural Language Modeling and Machine Translation
- BrickRegistration - This project is a tool to generate synthetic 3d scenes for toying with bricks registration.
- 넥타이도 못매는 이 남자... ‘AI 혁명’ 최전선에 서다
- A Python library with a set of bells and whistles for PyTorch
- Free 2,900-page Manual about Pandas
- 시계열 데이터를 시각화하는 방법
- Mesh Transformer JAX - A 6 billion parameter, autoregressive text generation model trained
- Python and data science snippets on the command line
- Wav2vec: Semi and Unsupervised Speech Recognition
- A first look at rote learning in GitHub Copilot suggestions.
- Using conda on an M1 Mac
- 김진철의 How-to-Big DataㅣHow-to-Big Data 핵심 정리(Key Takeaways)
- AI 책임자 직급이 낮아졌다, 이유는?··· '2021 AI 현황 보고서' 요약
- Google CEO Sees AI as More Profound Than Fire, Electricity
- Just gave a talk about Vertex AI at Google IO Extended Korea
- GitHub Copilot - Your AI pair programmer
- Why Machine Learning is not Artificial Intelligence?
- Zero Knowledge
- 원티드는 어떻게 AI로 채용 결과를 예측하고 매칭할까?
- 읽을거리
보너스: Thinking Sparse and Dense
EOB
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