PinnedNeo Yi PenginDataDrivenInvestorA Slightly Critical View on Generative AI CapabilitiesExploring limits of Generative AI, mostly focused on FinanceOct 23, 2023Oct 23, 2023
PinnedNeo Yi PenginTowards Data ScienceHow Renaissance beat the markets with Machine LearningTLDR: A bunch of smart mathematicians and computer scientists use machine learning to model financial markets and bet on short term…Jan 3, 20205Jan 3, 20205
Neo Yi PenginTowards AIFew-shot Financial Sentiment Classification — Does It Work?SetFit for Financial Sentiment AnalysisOct 16, 20221Oct 16, 20221
Neo Yi PenginTowards Data ScienceTokenizers: NLP’s Building BlockExploring the oft-neglected building block of transformersSep 20, 2020Sep 20, 2020
Neo Yi PenginTowards Data ScienceHow NLP has evolved for Financial Sentiment AnalysisDo we still need humans to read boring financial statements?May 21, 20201May 21, 20201
Neo Yi PenginTowards Data ScienceSimplifying Precision, Recall and other Evaluation MetricsExplaining evaluation metrics in basic termsMay 5, 20201May 5, 20201
Neo Yi PenginTowards Data ScienceN-BEATS — Beating Statistical Models with Neural NetsPredicting time series with residual stacks and meta-learningOct 4, 20196Oct 4, 20196
Neo Yi PenginTowards Data ScienceReading charts with Convolutional Neural NetworksTechnical Analysis using CNNsJun 3, 20194Jun 3, 20194
Neo Yi PenginTowards Data ScienceApplying Two Ideas from Advances in Financial Machine LearningFinding structural breaks and measuring entropy in financeMay 19, 20192May 19, 20192
Neo Yi PenginTowards Data ScienceWhat I’ve learnt predicting soccer matches with machine learningBeating the Bookies with MLJan 15, 20195Jan 15, 20195
