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Create production quality machine learning models in C# without leaving the .NET ecosystem.
In ML.NET for Machine Learning and Generative AI you'll learn:
You’ll begin with the basics of machine learning, explained through engaging real-world examples. Next, you’ll discover how ML.NET can streamline common ML tasks, and explore models that grow in complexity from a simple classification algorithm to advanced object detection in images. Throughout the book, you’ll go hands-on to develop your own artificial intelligence tool that can give feedback and suggestions on writing clean and well-structured code. [Read more]
A practical introduction to data engineering on the powerful Snowflake cloud data platform.
Data engineers create the pipelines that ingest raw data, transform it, and funnel it to the analysts and professionals who need it. The Snowflake cloud data platform provides a suite of productivity-focused tools and features that simplify building and maintaining data pipelines.
In Snowflake Data Engineering you'll learn how to:
Along the way, you’ll practice the most important data engineering tasks as you work through relevant hands-on examples. Throughout, author Maja Ferle shares design tips drawn from her years of experience to ensure your pipeline follows the best practices of software engineering, security, and data governance. [Read more]
Build a Large Language Model (From Scratch) teaches you how to:
As you work through each key part of LLM creation, you’ll develop an in-depth understanding of how LLMs work, their limitations, and their customization methods. Your LLM can be developed on an ordinary laptop, and used as your own personal assistant! [Read more]
Inside Emotional Digital Design you'll discover:
Emotional Digital Design teaches you to create digital products that are memorable, loved, and effective. You’ll dive deep into how humans perceive and process visual information, mastering both psychological principles and their practical application. Every concept is fully illustrated with examples from real-life products! [Read more]
Time Series Forecasting Using Foundation Models
You don’t need to spend weeks—or even months—coding and training your own models for time series forecasting. This book shows you how to make accurate predictions using flexible pretrained models. Dive into cutting-edge models like TimeGPT and Chronos and see how they can deliver zero-shot probabilistic forecasting, point forecasting, and more. [Read more]
3 chapters of this MEAP are available now, with more to follow soon!
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Effective Platform Engineering
A great developer platform makes your development team incredibly efficient, providing a customized one-stop shop for everything they need to build and deploy applications. This new MEAP introduces platform engineering as a discipline, teaching you what goes into a great developer platform and then showing you how to develop your own. [Read more]
