DigitalMarketingMarketing Channel Attribution with Markov Chains in Python (Korean) 마케팅 캠페인들을 적극적으로 운영하는 비즈니스에서는 마케팅 채널들이 실제 전환을 유도하는지를 파악하는데 관심을 가져야 합니다. 마케팅 노력들에 대한 ROI(투자수익률)이 중요한 KPI…
Recommender Systems Neighborhood-Based Collaborative Filtering (1) (KR)참고 자료원본 : Recommender Systems The Textbook 2장- Charu C. Aggarwal책에 2장(앞 부분, 2-4)까지 번역합니다.중요한 부분이 아닌 것은 생략합니다. (추후에 2-5 ~ 2-8도 업로드 예정)…
NLPAttn: Illustrated Attention(KR)원문 아티클 : Attn: Illustrated Attention아래의 글은 TowardDataScience에 올라온 Raimi bin Karim의 Attn: Illustrated Attention…
Time SeriesAlmost Everything You Need to Know About Time Series (Korean)참고자료Almost Everything You Need to Know About Time Series by Marco Peixeiro…
VisualizationBest Data and Big Data Visualization Techniques(KR)참고자료원본 아티클 - Best Data and Big Data Visualization Techniquessciforce Medium연구자들은 시각(vision…
FeatureEngineeringNormalization vs Standardization - Quantitative analysis (KR)참고자료원본 아티클 (Normalization vs Standardization — Quantitative analysis)Normalization vs StandardizationShay Geller is a full time AI and NLP…
MachineLearningThe Illustrated Word2vec Review (KR)참고자료원본 아티클 The Illustrated Word2vec, 저자 Jay Alammar 1. INTRODUCTION…
NLPDeep learning for specific information extraction from unstructured texts본 포스트의 원문은 아래의 링크에서 보실 수 있습니다.https://towardsdatascience.com/deep-learning-for-specific-information-extraction-from-unstructured-texts-12c5b…
FeatureSelectionFeature Selection with Null Importances(KR)Feature selection using target permutation (Null Importance)아래의 글은 Olivier의 feature selection with null importances를 번역한 글입니다.논문https…
MachineLearningGradient Boosting and XGBoost(KR)참고자료아래의 글은 Gabriel Tseng 의 Gradient Boosting and XGBoost (https://medium.com/@gabrieltseng/gradient-boosting-and-xgboost-c306c1bcfaf…
OptimizationIt’s Only Natural: An Excessively Deep Dive Into Natural Gradient Optimization(KR)It’s Only Natural: An Excessively Deep Dive Into Natural Gradient Optimization참고자료아래의 글은 Cody Marie Wild 의 It’s Only Natural: An Excessively…
BayesianThe Power of Bayesian A/B Testing (Korean)Convoy의 데이터과학팀은 빈도주의의 실험방법론이 product 혁신에 이상적이지 않는다고 생각합니다. 그래서 베이지안 통계를 사용하는 A/B…
MachineLearningMeet Michelangelo - Uber’s Machine Learning Platform (Korean)참고자료Meet Michelangelo: Uber’s Machine Learning Platform by Jeremy Hermann (Michelangelo team - Engineering Manager), Mike Del Balso (Uber…
FeatureSelectionCombining multiple feature selection methods for stock prediction Union, intersection, and multi-intersection approaches Review (KR)참고자료원본 아티클 (Combining multiple feature selection methods for stock prediction Union, intersection, and multi-intersection approaches Review…
NLP10 Exciting Ideas of 2018 in NLP들어가며 Sebastian Ruder 의 블로그는 자연어 처리 분야의 다양한 문제들에 대해서 소개하고 요약된 정보를 제공해주는 블로그로 자연어 처리 분야에 관심이 있는 분들께서는 자주 살펴보시기를 적극 추천 드립니다!원문 링크 : http…
MachineLearningDo you know how to choose the right machine learning algorithm among 7 different types?(KR)Do you know how to choose the right machine learning algorithm among 7 different types?(KR)참고자료아래의 글은 Zaid Alissa Almaliki의 Do you know how…
MachineLearningData Scientist’s Dilemma: The Cold Start Problem – Ten Machine Learning Examples Review (KR)참고자료원본 아티클 (Data Scientist’s Dilemma: The Cold Start Problem – Ten Machine Learning Examples Review)Data Scientist’s Dilemma원본 아티클 저자 Kirk D…
