Expert Keras3 deep learning in R with multi-backend support. Use when working with keras3, mentions "keras3", "keras3 em R", "keras3 for R", "Functional API", "custom keras layer", "keras preprocessing", "keras application", "keras subclassing", "JAX backend", "multi-backend keras", "keras3 audio", "keras3 NLP", "keras3 vision", "preprocessing layer", "custom training loop", "model subclassing", "Sequential API", "layer_*", "optimizer_adam", "compile model", "fit model", or discusses deep learning with keras3 in R.
Machine learning paradigm selection guide covering self-supervised, few-shot, weak supervision, transfer learning and meta-learning. Use when mentions "self-supervised learning", "SSL", "few-shot learning", "FSL", "few shot", "weak supervision", "weakly supervised", "limited labeled data", "limited labels", "learning paradigms", "paradigmas de aprendizado", "meta-learning", "transfer learning", "quando usar SSL", "quando usar few-shot", "which learning approach", "escolher paradigma", "choose learning paradigm", "data scarcity", "escassez de dados", "unlabeled data", "dados não rotulados", or asks about learning strategy selection for data-limited scenarios.
Expert Quarto document creation and publishing with R. Use when working with Quarto, mentions "criar relatório", "quarto report", "quarto dashboard", "quarto presentation", "apresentação quarto", "quarto slides", "quarto website", "site quarto", "blog quarto", "quarto book", "livro quarto", "documento quarto", "render quarto", "renderizar quarto", "publicar quarto", "publish quarto", ".qmd file", "arquivo qmd", discusses reproducible research, data storytelling, interactive reports, scientific writing with R, or asks about creating reports, dashboards, presentations, websites, or books with R.
Multi-label audio classification in R using torch for bioacoustics and ecological monitoring. Use when mentions "multi-label audio", "multilabel audio", "multi-label classification", "classificação multi-rótulo", "mel-spectrogram", "mel spectrogram", "audio augmentation", "time-frequency masking", "BCEWithLogitsLoss", "audio preprocessing", "bioacoustics", "bioacústica", "acoustic monitoring", "monitoramento acústico", "sound classification", "classificação de sons", "overlapping species", "espécies sobrepostas", "soundscape analysis", "análise de paisagem sonora", "PAM", "passive acoustic monitoring", "audio multi-label", "torch audio", "torchaudio in R", or building sound classification models with overlapping classes in ecological contexts.
Expert bioacoustic analysis in R using tuneR, seewave, warbleR, bioacoustics, ohun, and soundecology. Use when mentions "análise de áudio em R", "audio analysis in R", "bioacoustics", "bioacústica", "acoustic analysis", "análise acústica", "espectrograma", "spectrogram", "MFCC", "mel-spectrogram", "detecção de eventos sonoros", "event detection", "sound detection", "passive acoustic monitoring", "PAM", "monitoramento acústico passivo", "índices ecoacústicos", "ecoacoustic indices", "acoustic indices", "tuneR", "seewave", "warbleR", "bioacoustics package", "ohun", "soundecology", "feature extraction from audio", "extração de features de áudio", "classificação de sons", "sound classification", "bird sound", "som de aves", "animal sound", "análise de vocalizações", "vocalization analysis", "acoustic ecology", "ecologia acústica", or working with environmental audio, animal vocalizations, or soundscape analysis.
Expert R with Databricks and Apache Spark using sparklyr. Use when mentions "databricks", "sparklyr", "spark com R", "Spark in R", "spark with R", "distributed data", "big data em R", "big data in R", "cluster computing", "databricks connect", "spark_connect", "remote spark", "delta lake", "delta table", "lakehouse", "sdf_", "ml_* functions", "spark ML", "escalar análise", "scale data science", "distributed computing", "parallel processing with spark", "DBR", "databricks runtime", "unity catalog", "broadcast join", "spark dataframe", "repartition", "shuffle", "executor", "driver node", or working with large-scale data analysis in R on Databricks. ONLY R - do NOT activate for Python, PySpark, Scala Spark, or other non-R big data tools.
Expert R data science using tidyverse and tidymodels. Use when working with data in R, mentions "tidyverse", "dplyr", "data wrangling", "análise de dados", "análise de dados em R", "data analysis", "data analysis in R", "análise estatística", "statistical analysis", "estatística em R", "machine learning", "machine learning in R", "ML em R", "aprendizado de máquina", "statistical modeling", "modelagem estatística", "ggplot2", "data visualization", "visualização de dados", "predictive modeling", "modelagem preditiva", "feature engineering", "engenharia de features", "model training", "treinar modelo", "treinamento de modelo", "cross-validation", "validação cruzada", "ciência de dados", "data science", "explorar dados", "explore data", "EDA", "análise exploratória", "exploratory analysis", or any data science task in R. ONLY activate for R language - do NOT activate for Python, pandas, scikit-learn, numpy, or other non-R data science tools.
Deep learning in R using torch and keras3 for neural networks across domains. Use when mentions "deep learning em R", "deep learning in R", "torch", "torch em R", "torch for R", "keras3", "keras3 em R", "neural network", "rede neural", "redes neurais", "CNN", "convolutional neural network", "rede convolucional", "RNN", "LSTM", "GRU", "recurrent neural network", "transformer", "GPU em R", "GPU in R", "train neural network", "treinar rede neural", "image classification", "classificação de imagens", "text classification", "classificação de texto", "sound classification", "audio classification", "classificação de sons", "audio deep learning", "deep learning com áudio", "spectrogram CNN", "CRNN", "mel-spectrogram", "torchaudio", "luz package", "build neural network", "construir rede neural", "transfer learning", "fine-tuning", "pretrained model", "modelo pré-treinado", or building/training neural network models in R for vision, NLP, audio, time series, or tabular data.