ML.Net Revealed: Simple Tools for Applying Machine Learning to Your Applications
暫譯: 揭開 ML.Net 的面紗：將機器學習應用於您的應用程式的簡單工具
Mukherjee, Sudipta
- 出版商: Apress
- 出版日期: 2020-12-18
- 售價: $2,530
- 貴賓價: 9.5 折 $2,404
- 語言: 英文
- 頁數: 175
- 裝訂: Quality Paper - also called trade paper
- ISBN: 1484265424
- ISBN-13: 9781484265420
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相關分類:
.NET、Machine Learning
海外代購書籍(需單獨結帳)
相關主題
商品描述
Get introduced to ML.NET, a new open source, cross-platform machine learning framework from Microsoft that is intended to democratize machine learning and enable as many developers as possible.
Dive in to learn how ML.NET is designed to encapsulate complex algorithms, making it easy to consume them in many application settings without having to think about the internal details. You will learn about the features that do the necessary "plumbing" that is required in a variety of machine learning problems, freeing up your time to focus on your applications. You will understand that while the infrastructure pieces may at first appear to be disconnected and haphazard, they are not.
Developers who are curious about trying machine learning, yet are shying away from it due to its perceived complexity, will benefit from this book. This introductory guide will help you make sense of it all and inspire you to try out scenarios and code samples that can be used in many real-world situations. What You Will Learn
- Create a machine learning model using only the C# language
- Build confidence in your understanding of machine learning algorithms
- Painlessly implement algorithms
- Begin using the ML.NET library software
- Recognize the many opportunities to utilize ML.NET to your advantage
- Apply and reuse code samples from the book
- Utilize the bonus algorithm selection quick references available online
Developers who want to learn how to use and apply machine learning to enrich their applications
商品描述(中文翻譯)
了解 ML.NET，這是微軟推出的一個新的開源跨平台機器學習框架，旨在使機器學習普及化，讓更多的開發者能夠使用。深入學習 ML.NET 如何設計以封裝複雜的算法，使其在多種應用場景中易於使用，而無需考慮內部細節。您將了解在各種機器學習問題中所需的「管道」功能，讓您能夠專注於應用程式的開發。您會明白，雖然基礎設施的組件起初看起來可能是分散且雜亂的，但實際上並非如此。
對於那些對嘗試機器學習感到好奇，但因為其複雜性而卻步的開發者，本書將帶來幫助。這本入門指南將幫助您理解整個過程，並激勵您嘗試可以在許多現實情況中使用的場景和代碼範例。
您將學到什麼
- 僅使用 C# 語言創建機器學習模型
- 增強對機器學習算法的理解信心
- 輕鬆實現算法
- 開始使用 ML.NET 函式庫軟體
- 認識利用 ML.NET 的多種機會
- 應用並重用書中的代碼範例
- 利用在線提供的算法選擇快速參考
本書適合誰
希望學習如何使用和應用機器學習來豐富其應用程式的開發者
作者簡介
Sudipta Mukherjee is an electronics engineer by education and a computer scientist by profession. He holds a degree in electronics and communication engineering. He is passionate about data structure, algorithms, text processing, natural language processing tools development, programming languages, and machine learning. He is the author of several technical books. He has presented at @FuConf and other developer events, and he lives in Bangalore with his wife and son.
作者簡介(中文翻譯)
Sudipta Mukherjee 是一位受過電子工程教育的電子工程師，並且是一名計算機科學家。他擁有電子與通信工程的學位。他對資料結構、演算法、文本處理、自然語言處理工具開發、程式語言以及機器學習充滿熱情。他是幾本技術書籍的作者，曾在 @FuConf 及其他開發者活動中發表演講，並與妻子和兒子居住在班加羅爾。
