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Learn how to create, train, and tweak large language models (LLMs) by building one from the ground up!
Learn how to put Large Language Model-based applications into production safely and efficiently.
Use SQL to get the data you need in no time at all! Learn to read and write basic queries, troubleshoot common problems, and control your own business data in just 24 short lessons–no programming experience required!
The book provides a foundational guide to statistical computing and visualisation Using R programming with an emphasis on practical data analysis skills that are directly applicable to diverse fields like finance, defence, health, and education.
Python Experiments in Physics and Astronomy acts as a resource for science and engineering students or faculty who would like to see how a diverse selection of topics can be analyzed and simulated using Python programs.
This book provides engineering students and practitioners with a simple and practical introduction to Python for technical programming and other empowering uses for engineering and scientific work, without computer science jargon.
This book provides a guide to working efficiently with larger-than-memory datasets using the arrow R package. You'll learn how to overcome... Læs mere
Learn how to find the unusual, interesting, extreme, or inaccurate parts of your data.
Discover the new features and techniques of the most modern versions of Angular.
Contract testing is a simple, reliable way to make sure that each service and API plays nice with other components so you can deploy independently and safely.
Automate your build, test, and deploy pipelines using GitHub Actions!
All the mistakes you might make with SQL Server—and how to avoid them!