Data Science #17

In this issue: Python Rgonomics; can LLMs replace data analysts?; four ways to streamline your R workflows; DocLLM: A layout-aware generative language model for multimodal document understanding; marking telomeres on a simple ideogram in R; visualization of time-oriented data; and more.

• Python Rgonomics
• Can LLMs replace data analysts? Building an LLM-powered analyst
• Conditional Variational Autoencoders with learnable conditional embeddings
• Streamline Data Pipelines: How to use WhyLogs with PySpark for effective data profiling and validation
• [Sponsored] The best way of learning machine learning in 2024
• Four ways to streamline your R workflows
• [ArXiv] DocLLM: A layout-aware generative language model for multimodal document understanding
• [Tutorial] Marking telomeres on a simple ideogram in R
• [ArXiv] Principled Instructions Are All You Need for Questioning LLaMA-1/2, GPT-3.5/4
• [Book] Visualization of Time-Oriented Data

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