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InNetflix TechBlogbyNetflix Technology BlogCausal Machine Learning for Creative InsightsA framework to identify the causal impact of successful visual components.Jan 11, 20236Jan 11, 20236
InTDS ArchivebyDr. Carmen Adriana Martínez BarbosaEqual-size spectral clusteringA modification of this popular algorithm that builds clusters balanced in the number of pointsFeb 6, 20234Feb 6, 20234
InTDS ArchivebyMatthew HarrisPredicting Metadata for Humanitarian Datasets Using GPT-3Responding to humanitarian disasters quickly, better still, anticipating them can save lives [1]. Data is key to this, not just having lots…Jan 18, 20232Jan 18, 20232
InTDS ArchivebyNazlı AlagözEvent Studies for Causal Inference: The Dos and Don’tsA guide to avoiding the common pitfalls of event studiesDec 18, 2022Dec 18, 2022
InTDS ArchivebyJimmy Hajime TakedaMedia Mix Modeling: How to measure the effectiveness of advertising with Python & LightweightMMMMedia Mix modeling, its implementation, and practical tipsDec 17, 202213Dec 17, 202213
InPew Research Center: DecodedbyPatrick van KesselAre topic models reliable or useful?The final post in our series examines how topic models can and can’t help when classifying large amounts of text.Sep 24, 2021Sep 24, 2021
FanbomengTopic Modeling: is NQTM a better choice than LDA for short text ?Professorbob.aiSep 17, 2021Sep 17, 2021
InPew Research Center: DecodedbyPatrick van KesselHow keyword oversampling can help with text analysisKeyword oversampling can be a powerful way to analyze uncommon subsets of text data.Sep 24, 2021Sep 24, 2021
Abhishek PawarTopic Modelling using Ensemble LDAQuick guide to produce stable topic modelApr 7, 20222Apr 7, 20222
InPew Research Center: DecodedbySam BestvaterAnalyzing text for distinctive terms using pointwise mutual informationPMI is a quick and easy way to identify words that distinguish one group of documents from another.Jul 13, 20221Jul 13, 20221
InTDS ArchivebyShaw TalebiTopological Data Analysis (TDA)A less mathematical introductionMay 21, 20223May 21, 20223