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Towards Data Science

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What’s your stance on synthetic data for training/eval?


To build more capable AI systems, developers need to connect LLMs to external tools. Ayoola Olafenwa shows you how to create a tool schema and implement a web search agent using Python, GPT-5, and the @tavilyaiAPI. towardsdatascience.com/how-to-build-a…


Explore the implications of a GIL-free Python for data science and ML workloads. @taupirho's article explains how it can speed up data preprocessing and model training. towardsdatascience.com/python-3-14-an…


How do you prevent your AI from providing incorrect answers with high confidence? Nidhin Karunakaran Ponon details crucial output layer guardrails, including setting confidence thresholds and automating human-in-the-loop triggers. towardsdatascience.com/how-to-build-e…


Calling yourself a "passionate, hardworking'" data scientist in your summary? @EgorHowell argues this is a mistake. He shares how to write a summary that states what you do and what you've accomplished. towardsdatascience.com/this-resume-la…


Looking for a simple project to solidify your R skills? If you have the theory but need the practice, see how @BenjaminNweke11 built a command-line quiz. towardsdatascience.com/building-a-com…


Reduce RAG development time by eliminating complex parsing pipelines. Julian Yip shows you how the ColPali model treats document pages as images, increasing robustness and simplifying preprocessing. towardsdatascience.com/bringing-visio…


Chinmay Kakatkar breaks down how conceptual frameworks shape data science projects. From structuring abstract ideas to guiding model choices and stakeholder communication. towardsdatascience.com/conceptual-fra…


In her latest reflection, @pandeyparul shares key takeaways from months of GenAI hackathon participation. Exploring how the focus has moved from pure coding to creating real, usable AI prototypes. towardsdatascience.com/things-i-learn…


.@AyoolaOlafenwa walks through the mechanics of AI agents, showing how GPT-5 and other LLMs can be leveraged for tasks across science, healthcare, education, and finance. towardsdatascience.com/how-to-build-a…


.@jumbong_junior explains a numerical approach to the Fourier Transform in Python, guiding readers step by step and highlighting what FFT functions in NumPy and SciPy actually compute. towardsdatascience.com/implementing-t…


In this piece, @SteveHedden breaks down the evolution from traditional retrieval-augmented generation to advanced context engineering and semantic layers for agentic AI. towardsdatascience.com/beyond-rag/


Learn how to analyze personal data using NumPy. Ibrahim Salami shares a guide on loading, validating, and splitting data to find patterns in daily habits like sleep and screen time. towardsdatascience.com/using-numpy-to…


Frustrated when your RL agent learns to cheat instead of solving the problem? Vedant Jumle shares his experience with "reward hacking" while teaching a drone to land, explaining how he debugged unintended behavior. towardsdatascience.com/deep-reinforce…


Seeing LLMs use deprecated syntax like id() in @Neo4j? Tomaz Bratanic builds a Claude Skill to enforce modern Cypher patterns. Learn how this approach helps models avoid common errors and generate correct queries. towardsdatascience.com/using-claude-s…


Learn the fundamental difference between human deductive reasoning and an LLM's inductive, pattern-based approach. @m_mouschoutzi explains why AI doesn't "think" like we do. towardsdatascience.com/water-cooler-s…


Finding it hard to build dynamic forecasts in Power BI? Salvatore Cagliari walks you through using the new DAX user-defined functions to calculate future income based on a variable inflation rate. towardsdatascience.com/a-real-world-e…


Discover how AI audio models can transform applications in speech-to-text, text-to-speech, and speech-to-speech. Learn practical insights in @EivindKjos' full article now. towardsdatascience.com/how-to-apply-p…


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