guide
guide on Beyond Market Intelligence: a running collection of 7 stories we have gathered and hand-picked because they are worth your time. Every post here touches on guide in some way — the news, the analysis, the deep dives, and the occasional surprise find. Acme AI is the next-generation, AI-powered spreadsheet platform built to replace Excel and redefine how analysts, data scientists, and enterprise teams work with data. New stories are added to this page as we find them, so check back if you want to keep up with what is happening around guide, or subscribe to the RSS feed to get them as soon as they are published. Browse the collection below, or head back to the homepage to see everything Beyond Market Intelligence is covering right now.
The Power BI Developer's Survival Guide to Microsoft Fabric
Power BI developers, a significant shift is underway. Microsoft Fabric has arrived, effectively replacing Power BI Premium. This guide provides a clear, concise overview of what’s changed—and what hasn’t—to ensure a smooth transition. We'll equip you with the essential knowledge to navigate this evolution and confidently begin leveraging Fabric's capabilities. If you're exploring the broader landscape of AI-powered development, consider "How to Solve the Right Problem in the Age of Agentic AI" for a practical framework.
How to Work with AI Coding Agents
AI coding agents promise better code, not just *more* code, and mastering their use is essential for modern data professionals. This practical guide explores how to effectively collaborate with these agents, maximizing their potential to streamline development and improve code quality. Discover strategies for prompting, evaluating outputs, and integrating AI assistance into your existing workflows. For a deeper understanding of the evolving roles of humans and AI in analytics, explore "Agentic AI Is Rewriting The Analytics Stack."
How to Format Your TDS Draft: A New and Improved Guide
Crafting a clear and compliant TDS draft is essential for publication on Towards Data Science. Our new and improved guide streamlines the process, providing everything you need to effectively utilize the Contributor Portal. This resource clarifies formatting expectations, ensuring your submission aligns with our editorial standards. Discover how to structure your draft for optimal readability and impact. For deeper insights into related AI challenges, explore "Hallucinations, Watermarks, Removers, and a Squeezed Balloon," available on our site.
How to Fine-Tune an LLM: An End-to-End Guide
Ready to move beyond pre-trained LLMs and unlock their full potential? Our comprehensive guide, "How to Fine-Tune an LLM: An End-to-End Guide," provides a practical, hands-on approach to tailoring these powerful models for real-world applications. Explore the process, from data preparation to evaluation, and discover how fine-tuning can dramatically improve performance on specific tasks. For a deeper dive into the complexities of LLM evaluation, see our article, "The LLM Judge That Kept Agreeing With Itself," and empower your data journey.
How to Install Claude Code: A Step-by-Step Guide
You’ve likely encountered the reports: Claude Code’s terminal app is experiencing high demand. While the web application offers access, the terminal version unlocks a distinct level of performance. This guide provides a straightforward, step-by-step walkthrough to get Claude Code installed and running on your system, empowering you to explore its capabilities firsthand. Discover how to optimize your AI workflow—and if you're interested in the broader landscape of AI influencers shaping the future, check out "Top 10 AI Influencers of 2026."
LanceDB Vector Database Guide: Features, Python Demo
Large language models thrive on text, but struggle when data is fragmented across formats or sources. Modern AI increasingly relies on vector databases to efficiently store and retrieve information through similarity search. LanceDB emerges as a powerful vector database specifically engineered for AI workloads, offering native support for multimodal data—text, images, and more. Explore our comprehensive guide to LanceDB's features and a practical Python demo, and discover how it can transform your AI data management.
Cracking the Data Science Case Study Interview
Data science case study interviews demand more than just coding proficiency; they evaluate your analytical thinking and ability to translate data into actionable business solutions. This guide introduces the SCOPE framework—a simple, adaptable approach to tackle almost any case study challenge. Master this framework and confidently navigate these assessments, demonstrating your problem-solving skills and communication prowess. For a deeper dive into related AI challenges, explore "A Complete Guide to AI Red-Teaming."