Data Science Weekly – Issue 658
Issue 658 of Data Science Weekly curates top resources, including tutorials on LLM fine-tuning, Python libraries for data visualization, and practical guides on MLOps, along with industry news on AI regulation and open-source tool updates.
Background
Data Science Weekly is a curated newsletter that aggregates top news, tutorials, and resources across data science, machine learning, and AI. Issue 658 compiles recent highlights, including practical guides (e.g., running LLMs locally, using Jupyter with AI), notable research papers, library releases, and career advice. Typical readership includes practitioners and enthusiasts who want a digestible weekly update on tools and trends—like Apache Spark updates, OpenAI/Claude releases, data visualization techniques, or MLOps best practices—without needing to watch the field day-to-day themselves.