| 書目名稱 | Practical Machine Learning with Rust | | 副標題 | Creating Intelligent | | 編輯 | Joydeep Bhattacharjee | | 視頻video | http://file.papertrans.cn/754/753114/753114.mp4 | | 概述 | The first book on Rust for machine learning.Covers the basics to full-blown applications.Provides insights into challenges when working with the existing ecosystem | | 圖書封面 |  | | 描述 | .Explore machine learning in Rust and learn about the intricacies of creating machine learning applications. This book begins by covering the important concepts of machine learning such as supervised, unsupervised, and reinforcement learning, and the basics of Rust. Further, you’ll dive into the more specific fields of machine learning, such as computer vision and natural language processing, and look at the Rust libraries that help create applications for those domains. We will also look at how to deploy these applications either on site or over the cloud...After reading .Practical Machine Learning with Rust., you will have a solid understanding of creating high computation libraries using Rust. Armed with the knowledge of this amazing language, you will be able to create applications that are more performant, memory safe, and less resource heavy...?..What You Will Learn.Write machine learning algorithms in Rust.Use Rust libraries for different tasks in machine learning.Create concise Rust packages for your machine learning applications.Implement NLP and computer vision in Rust.Deploy your code in the cloud and on bare metal servers..?..Who This Book Is For.?.Machine learning engi | | 出版日期 | Book 2020 | | 關鍵詞 | Machine Learning; Rust; Algorithms; Artificial Intelligence; Native Code; Natural Language Processing; Com | | 版次 | 1 | | doi | https://doi.org/10.1007/978-1-4842-5121-8 | | isbn_softcover | 978-1-4842-5120-1 | | isbn_ebook | 978-1-4842-5121-8 | | copyright | Joydeep Bhattacharjee 2020 |
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