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With detailed notes, tables, and examples, this handy reference will help you navigate the basics of structured machine learning. Author Matt Harrison delivers a valuable guide …
Create your own natural language training corpus for machine learning. Whether youre working with English, Chinese, or any other natural language, this hands-on book guides you …
Much of the data available today is unstructured and text-heavy, making it challenging for analysts to apply their usual data wrangling and visualization tools. With this practical …
This mini-book is a comprehensive guide for Python developers who want to learn how to build applications with large language models. Authors Olivier Caelen and Marie-Alice Blete …
Learn how to solve challenging machine learning problems with TensorFlow, Googles revolutionary new software library for deep learning. If you have some background in basic linear …
Learn how to solve challenging machine learning problems with TensorFlow, Googles revolutionary new software library for deep learning. If you have some background in basic linear …
Since their introduction in 2017, transformers have quickly become the dominant architecture for achieving state-of-the-art results on a variety of natural language processing …
Whether you're part of a small startup or a planet-spanning megacorp, this practical book shows data scientists, SREs, and business owners how to run ML reliably, effectively, and …
Companies are scrambling to integrate AI into their systems and operations. But to build truly successful solutions, you need a firm grasp of the underlying mathematics. This …
Edge AI is transforming the way computers interact with the real world, allowing IoT devices to make decisions using the 99% of sensor data that was previously discarded due to …