Matt Eland

Data Science with .NET and Polyglot Notebooks (eBook, ePUB)

Programmer's guide to data science using ML.NET, OpenAI, and Semantic Kernel

• Format: ePub

Produktbeschreibung

As the fields of data science, machine learning, and artificial intelligence rapidly evolve, .NET developers are eager to leverage their expertise to dive into these exciting domains but are often unsure of how to do so. Data Science in .NET with Polyglot Notebooks is the practical guide you need to seamlessly bring your .NET skills into the world of analytics and AI.
With Microsoft's .NET platform now robustly supporting machine learning and AI tasks, the introduction of tools such as .NET Interactive kernels and Polyglot Notebooks has opened up a world of possibilities for .NET developers. This book empowers you to harness the full potential of these cutting-edge technologies, guiding you through hands-on experiments that illustrate key concepts and principles. Through a series of interactive notebooks, you'll not only master technical processes but also discover how to integrate these new skills into your current role or pivot to exciting opportunities in the data science field.
By the end of the book, you'll have acquired the necessary knowledge and confidence to apply cutting-edge data science techniques and deliver impactful solutions within the .NET ecosystem.

---

Dieser Download kann aus rechtlichen Gründen nur mit Rechnungsadresse in A, B, BG, CY, CZ, D, DK, EW, E, FIN, F, GR, H, IRL, I, LT, L, LR, M, NL, PL, P, R, S, SLO, SK ausgeliefert werden.

Produktdetails

• Verlag: Packt Publishing
• Seitenzahl: 404
• Erscheinungstermin: 30. August 2024
• Englisch
• ISBN-13: 9781835882979
• Artikelnr.: 71783099

Autorenporträt

Matt Eland is a senior software engineering and data science consultant at Leading EDJE in Columbus, Ohio. He loves sharing his journey by teaching software engineering, AI, and data science concepts in the most engaging ways possible. Matt has used machine learning to settle debates over whether certain movies are Christmas movies, reinforcement learning to create digital attack squirrels, data analytics to suggest improvements to his favorite TV show, and AI agents to play board games and create an AI agent with the personality of a dog. He is the author of multiple books and courses, helps organize a user group and regional conferences, holds a Master's of Science in Data Analytics, and is a 2x Microsoft MVP in AI and .NET.