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8 Ways to Scale your Data Science Workloads

KDnuggets

Get Started: BigQuery Sandbox Documentation Example Notebook: Use BigQuery in Colab 3. Your AI-Powered Partner in Colab Notebooks Data Science Agent in a Colab Notebook (sequences shortened, results for illustrative purposes) Colab notebooks are now an AI-first experience designed to speed up your workflow.

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Serve Machine Learning Models via REST APIs in Under 10 Minutes

KDnuggets

However, it: Validates input data automatically Returns meaningful responses with prediction confidence Logs every request to a file (api.log) Uses background tasks so the API stays fast and responsive Handles failures gracefully And all of it in under 100 lines of code. She co-authored the ebook "Maximizing Productivity with ChatGPT".

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Generative AI: A Self-Study Roadmap

KDnuggets

By combining pre-trained models with external knowledge sources, RAG systems provide accurate, up-to-date information while maintaining the natural language capabilities of foundation models. Architecture Patterns : Simple RAG systems retrieve relevant documents and include them in prompts for context.

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Why You Need RAG to Stay Relevant as a Data Scientist

KDnuggets

Data scientists use different tools for tasks like data visualization, data modeling, and even warehouse systems. Like this, AI has changed data science from A to Z. If you are in the way of searching for jobs related to data science, you probably heard the term RAG. What is a retriever?

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Building End-to-End Data Pipelines: From Data Ingestion to Analysis

KDnuggets

By Josep Ferrer , KDnuggets AI Content Specialist on July 15, 2025 in Data Science Image by Author Delivering the right data at the right time is a primary need for any organization in the data-driven society. But lets be honest: creating a reliable, scalable, and maintainable data pipeline is not an easy task.

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NotebookLM + Deep Research: The Ultimate Learning Hack

KDnuggets

Step 1: Choose a Topic To we will start by selecting a topic within the fields of AI, machine learning, or data science. Step 4: Leverage NotebookLM’s Tools Audio Overview This feature converts your document, slides, or PDFs into a dynamic, podcast-style conversation with two AI hosts that summarize and connect key points.

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The 7 Most Useful Jupyter Notebook Extensions for Data Scientists

KDnuggets

By Cornellius Yudha Wijaya , KDnuggets Technical Content Specialist on June 18, 2025 in Data Science Image by Author As a data scientist, Jupyter Notebook has become one of the first platforms we learn to use, as it allows for easier data manipulation compared to standard programming IDEs.